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Freelance Data Science Engineer (Python & SQL)

Toloka AI

Contract|$90/hr - $90/hr|Remote|Remote — Virginia, United States

Please submit your CV in English and indicate your English proficiency level. Toloka AI, working with Mindrift, offers project-based freelance roles for professionals who want to help test, evaluate, and improve artificial intelligence systems for leading technology companies. These are contract assignments, not permanent positions. Role overview The Freelan…

Apr 25, 2026

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Freelance Data Science Engineer (Python & SQL)

toloka-ai

Contract|$90/hr - $90/hr|Remote|Remote — Iowa, United States

We invite you to submit your CV in English, along with your English proficiency level.At Mindrift, we bridge the gap between skilled professionals and project-based AI opportunities with leading technology firms. Our focus is on testing, evaluating, and enhancing AI systems. Note: Participation is project-based and does not lead to permanent employment.Opportunity Overview:Each project presents its own unique challenges, and contributors may be responsible for:Creating original computational data science problems that mirror real-world analytical workflows across diverse sectors including telecom, finance, government, e-commerce, and healthcare.Developing problems that necessitate Python programming for solutions (utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn).Ensuring that problems are computationally intensive, thus requiring several days or weeks to solve manually.Designing problems that involve complex reasoning pathways in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Formulating deterministic problems with reproducible outcomes, avoiding stochastic elements unless fixed random seeds are employed.Basing problems on actual business challenges such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Crafting comprehensive problems that cover the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Integrating big data processing scenarios that demand scalable computational strategies.Validating solutions using Python and standard data science libraries alongside statistical methods.Clearly documenting problem statements within realistic business contexts and providing verified correct answers.Qualifications:This opportunity is ideal for Data Science specialists with Python expertise who are open to part-time, non-permanent projects. Preferred qualifications include:5+ years of practical data science experience demonstrating tangible business impact.A portfolio of completed projects and publications that showcase real-world problem-solving capabilities.Proficiency in Python programming for data science (including pandas, numpy, scipy, scikit-learn, statsmodels).Advanced statistical analysis and machine learning expertise, with a deep understanding of algorithms, methodologies, and their practical applications.Strong SQL skills and experience in database operations for data manipulation and analysis.Familiarity with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).Understanding of MLOps practices and model deployment workflows.Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain).Excellent written English proficiency (C1+).Process Overview:Application → Qualification Process → Project Engagement → Task Completion → Payment.

May 5, 2026

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Freelance Data Science Engineer (Python & SQL)

Toloka AI

Contract|$90/hr - $90/hr|Remote|Remote — Virginia, United States

We invite you to submit your CV in English, detailing your proficiency in the language.At Mindrift, we specialize in connecting talented professionals with project-based AI opportunities at leading technology firms, with a focus on testing, evaluating, and enhancing AI systems. Please note that participation is on a project basis and does not constitute permanent employment.Opportunity OverviewEach project presents unique challenges and contributors may be expected to:Design innovative computational data science tasks that replicate real-world analytical processes across various sectors, including telecom, finance, government, e-commerce, and healthcare.Develop problems requiring Python programming skills to solve, utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Create computationally intensive problems that cannot be solved manually within a practical timeframe (days or weeks).Formulate tasks that necessitate complex reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Establish deterministic problems with reproducible solutions, avoiding stochastic elements unless fixed random seeds ensure exact replicability.Base problems on actual business challenges like customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Design comprehensive tasks that encompass the entire data science pipeline, including data ingestion, cleaning, exploratory data analysis (EDA), modeling, validation, and deployment considerations.Integrate big data processing scenarios that require scalable computational strategies.Validate solutions using Python, employing standard data science libraries and statistical methods.Clearly document problem statements with realistic business contexts and provide verified accurate answers.What We SeekThis opportunity is ideally suited for data science specialists with extensive experience in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:A minimum of 5 years of hands-on experience in data science with a demonstrated impact on business outcomes.A portfolio of completed projects and publications that showcase real-world problem-solving abilities.Proficiency in Python programming for data science, including libraries such as Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels.Strong capabilities in statistical analysis and machine learning, with a deep understanding of algorithms, methods, and their practical applications.Expertise in SQL and database operations for data manipulation and analysis.Familiarity with GenAI technologies, including LLMs, RAG, prompt engineering, and vector databases.An understanding of MLOps practices and model deployment workflows.Knowledge of modern frameworks like TensorFlow, PyTorch, and LangChain.Excellent written English skills (C1+ level).Application ProcessApply → Pass qualification(s) → Join a project → Complete tasks → Get compensated.

May 5, 2026

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Freelance Data Science Engineer (Python & SQL)

Mindrift

Contract|$90/hr - $90/hr|Remote|Remote — Wisconsin, United States

We invite you to submit your resume in English, detailing your level of English proficiency.At Mindrift, we connect skilled professionals with project-based opportunities in artificial intelligence for leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based engagement, not a permanent position.Project Details:While specific tasks may vary per project, contributors can expect to:Develop original computational data science challenges that reflect real-world analytical processes across various sectors (telecommunications, finance, government, e-commerce, healthcare).Craft problems that necessitate Python programming for resolution, utilizing libraries such as Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn.Ensure that all problems are computationally intensive, requiring substantial timeframes (days or weeks) for resolution.Design challenges that involve complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extraction of insights.Create deterministic problems with reproducible outcomes, minimizing the use of stochastic elements or employing fixed random seeds for precise reproducibility.Base project challenges on genuine business issues such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Architect end-to-end problems that encompass the entire data science workflow (from data ingestion to cleaning, exploratory data analysis, modeling, validation, and deployment considerations).Integrate big data processing scenarios that require scalable computational methodologies.Validate solutions using Python and standard data science libraries alongside statistical techniques.Clearly document problem statements with realistic business contexts, providing verified correct answers.Qualifications:This role is ideal for data science professionals with extensive experience in Python who are interested in part-time, non-permanent engagements. Candidates should ideally possess:5+ years of practical data science experience demonstrating significant business impact.A portfolio showcasing completed projects and publications that exemplify real-world problem-solving capabilities.Advanced proficiency in Python for data science (including Pandas, NumPy, SciPy, Scikit-learn, Statsmodels).Expertise in statistical analysis and machine learning, with a deep understanding of algorithms, methodologies, and their practical applications.Strong SQL skills and experience in database operations for data manipulation and analysis.Familiarity with Generative AI technologies (including LLMs, RAG, prompt engineering, and vector databases).An understanding of MLOps practices and model deployment workflows.Knowledge of modern frameworks such as TensorFlow, PyTorch, and LangChain.Excellent written English skills (C1+ level).How to Apply:Submit your application, pass the qualifications, join a project, complete assigned tasks, and receive payment.

May 5, 2026

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Freelance Data Science Engineer (Python & SQL) – Remote Opportunity

Mindrift

Contract|$90/hr - $90/hr|Remote|Remote — Iowa, United States

Please submit your resume in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a freelance, project-based position rather than a permanent staff role. Role overview This freelance Data Science Engineer position centers on designing and validating challenging data science problems for real-world business scenarios. Work is fully remote and project-based, with a focus on Python and SQL. What you will do Design data science problems that mirror analytical challenges in industries such as telecommunications, finance, government, e-commerce, and healthcare. Create tasks requiring Python programming, using libraries like Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are computationally intensive, with solutions that may require days or weeks to process. Develop scenarios involving advanced data processing, statistical analysis, feature engineering, predictive modeling, and generating business insights. Write deterministic problems with reproducible results by using fixed random seeds or avoiding stochastic elements. Base challenges on real business cases, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and efficiency improvements. Cover the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Incorporate big data scenarios that require scalable computation strategies. Validate all solutions in Python, using standard data science libraries and statistical techniques. Document each problem clearly within a realistic business context and provide accurate, verified answers. Requirements Minimum 5 years of hands-on data science experience with proven business results. Portfolio of completed projects or publications demonstrating real-world problem solving. Advanced Python skills for data science, including experience with pandas, numpy, scipy, scikit-learn, and statsmodels. Strong background in statistical analysis and machine learning, with deep understanding of algorithms and their practical use. Expertise in SQL and database operations for data analysis and manipulation. Familiarity with Generative AI tools and concepts (LLMs, Retrieval-Augmented Generation, prompt engineering, vector databases). Understanding of MLOps and model deployment workflows. Knowledge of modern frameworks such as TensorFlow, PyTorch, and LangChain. Excellent written English communication skills at C1 level or above. How to join Apply Complete qualifications Join a project Fulfill assigned tasks Receive compensation Location Remote , Iowa, United States

Apr 25, 2026

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Freelance Data Science Engineer (Python & SQL) - Remote Opportunity

Toloka AI

Contract|$90/hr - $90/hr|Remote|Remote — Wisconsin, United States

Toloka AI offers project-based freelance roles for experienced Data Science Engineers. This position supports leading technology companies by designing and validating data science challenges that reflect real-world analytics scenarios. The engagement is freelance, not permanent employment. Role overview Freelance Data Science Engineers at Toloka AI create computational challenges for industries such as telecom, finance, government, e-commerce, and healthcare. Projects require designing problems that use Python and SQL, focusing on tasks that cannot be solved manually. Each challenge covers the full data science workflow, from data ingestion and cleaning to modeling and deployment considerations. Engineers use libraries such as Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Problems must be deterministic, reproducible, and based on realistic business scenarios like customer analytics, risk assessment, fraud detection, forecasting, and operational efficiency. Documentation of each challenge includes business context and a verified solution. Big data processing and scalable computational approaches are often required. Requirements At least 5 years of hands-on data science experience with measurable business outcomes Portfolio of completed projects or publications showing real-world problem-solving Advanced Python skills for data science, including pandas, numpy, scipy, scikit-learn, and statsmodels Strong background in statistical analysis and machine learning algorithms Proficiency in SQL and database operations for data analysis Familiarity with Generative AI tools and concepts (LLMs, RAG, prompt engineering, vector databases) Understanding of MLOps practices and model deployment workflows Knowledge of frameworks such as TensorFlow, PyTorch, or LangChain Excellent written English skills at C1 level or higher How to apply Submit your CV in English and specify your English proficiency level Complete the qualification process Join a project after qualification Carry out assigned tasks Receive payment upon completion of work Location: Remote , Wisconsin, United States

Apr 25, 2026

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Freelance Data Science AI Trainer (Python & SQL)

Mindrift

Contract|$90/hr - $90/hr|Remote|Remote — United States

We invite you to submit your resume in English, specifying your level of English proficiency.At Mindrift, we merge innovation with opportunity, harnessing the power of collective intelligence to ethically shape the future of AI.About UsThe Mindrift platform serves as a bridge connecting specialists with AI projects from leading tech innovators. Our mission is to unleash the potential of Generative AI by leveraging real-world expertise from around the globe.Role OverviewAs a Data Science AI Trainer, you will play a pivotal role in advancing GenAI models to tackle specialized questions and enhance complex reasoning skills. You will have the chance to collaborate on various unique projects.Your responsibilities may include:Crafting original computational data science challenges that replicate real-world analytical processes across sectors such as telecom, finance, government, e-commerce, and healthcare.Designing problems that require Python programming solutions (utilizing libraries like pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).Ensuring that the challenges are computationally demanding and cannot be solved manually within feasible timeframes (days/weeks).Creating scenarios necessitating sophisticated reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Formulating deterministic problems with reproducible outcomes, avoiding stochastic elements or employing fixed random seeds for exact results.Grounding challenges in actual business scenarios focusing on customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Designing comprehensive problems that cover the entire data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).Integrating big data processing requirements that call for scalable computational strategies.Validating solutions through Python using standard data science libraries and statistical techniques.Clearly documenting problem statements within realistic business contexts and providing verified correct answers.Getting StartedTo join us, simply apply to this posting, meet the qualifications, and you can contribute to exciting projects that align with your skills, all while working on your own schedule. By creating training prompts and refining model responses, you will help shape the future of AI, ensuring that technology serves everyone.

Nov 27, 2025

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Freelance Data Scientist (Python & SQL) - AI Training Specialist

toloka-ai

Contract|$90/hr - $90/hr|Remote|Remote — Iowa, United States

Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we connect talented specialists with innovative, project-based AI opportunities from leading technology companies. Our focus is on testing, evaluating, and enhancing AI systems. Note that participation is project-based and does not constitute permanent employment.Key Responsibilities:Develop original computational data science challenges that reflect real-world analytical tasks across various sectors, including telecom, finance, government, e-commerce, and healthcare.Design problems that necessitate Python programming for solutions using libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Create complex, computationally intensive problems that are impractical to solve manually within a reasonable timeframe.Formulate problems that require intricate reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights.Ensure problems yield deterministic results with reproducible answers, avoiding stochastic elements unless fixed random seeds are utilized.Base scenarios on genuine business challenges like customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Design comprehensive problems that encompass the entire data science pipeline, from data ingestion and cleaning through exploratory data analysis (EDA), modeling, validation, and deployment considerations.Integrate big data processing scenarios that demand scalable computational methods.Verify solutions using Python and standard data science libraries alongside statistical techniques.Clearly document problem statements within realistic business contexts, providing verified correct answers.Qualifications:We seek Data Science specialists with expertise in Python who are open to part-time, non-permanent projects. Ideal candidates should possess:A minimum of 5 years of practical experience in data science with demonstrable business impact.A portfolio showcasing completed projects and publications that highlight real-world problem-solving abilities.Expertise in Python programming for data science, including proficiency in Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels.Advanced statistical analysis and machine learning skills, with a deep understanding of algorithms, methods, and their practical applications.Proficient in SQL and database operations for effective data manipulation and analysis.Familiarity with Generative AI technologies, such as LLMs, RAG, prompt engineering, and vector databases.An understanding of MLOps practices and model deployment workflows.Knowledge of contemporary frameworks, including TensorFlow and PyTorch.Strong written English skills (C1 or higher).Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.

May 4, 2026

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Freelance Data Scientist (Python & SQL) - AI Trainer

Mindrift

Contract|$90/hr - $90/hr|Remote|Remote — Iowa, United States

Please submit your CV in English and mention your English proficiency level. Mindrift connects experienced professionals with project-based AI assignments for technology companies. The platform focuses on testing, evaluating, and improving AI systems. This is a project-based, non-permanent position. Role overview The Freelance Data Scientist (Python & SQL) - AI Trainer designs and validates data science challenges that mirror real-world analytics problems from fields like telecom, finance, government, e-commerce, and healthcare. Projects are remote and based in Iowa, United States. What you will do Create computational data science challenges based on genuine business scenarios, such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Develop problems that require advanced Python programming, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Ensure challenges are computationally intensive and cannot be solved by hand. Design tasks involving data processing, statistical analysis, feature engineering, predictive modeling, and extracting business insights. Produce deterministic problems with reproducible solutions, using fixed seeds or avoiding randomness. Build comprehensive challenges that cover the entire data science workflow, from data ingestion to deployment considerations. Include big data scenarios that require scalable solutions. Validate solutions using Python, standard data science libraries, and statistical methods. Document each problem clearly, providing realistic business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with proven business impact. Portfolio of completed projects or publications showing real-world problem-solving abilities. Advanced Python skills for data science (including Pandas, Numpy, Scipy, Sklearn, Statsmodels). Strong knowledge of statistical analysis and machine learning, including algorithm applications. Proficiency in SQL and database operations for data analysis and manipulation. Experience with Generative AI (LLMs, RAG, prompt engineering, vector databases). Familiarity with MLOps practices and deploying machine learning models. Understanding of frameworks such as TensorFlow, PyTorch, or LangChain. Strong written English skills at C1 level or above. Application process Apply Pass qualifications Join a project Complete tasks Receive compensation

Apr 25, 2026

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Freelance Data Scientist (Python & SQL) - AI Training Specialist

toloka-ai

Contract|$90/hr - $90/hr|Remote|Remote — Wisconsin, United States

Please submit your CV in English and indicate your English proficiency level. This freelance, project-based contract connects experienced data scientists with AI training assignments for major technology clients. Projects focus on testing, evaluating, and improving AI systems. This is not a permanent employment position. Role overview The AI Training Specialist will design advanced computational data science challenges that mirror real-world analytical workflows. Scenarios span industries such as telecom, finance, government, e-commerce, and healthcare. Each challenge should require deep analytical thinking and practical coding skills. What you will do Create data science problems that require Python programming with libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Develop computationally intensive tasks that cannot be solved manually in a few days or weeks. Formulate challenges involving complex data processing, statistical analysis, feature engineering, predictive modeling, and generating insights. Ensure all problems are deterministic, with replicable solutions and fixed random seeds. Base scenarios on business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Cover the full data science pipeline, from data ingestion to deployment considerations. Include tasks that require scalable computational approaches and big data processing. Validate solutions using standard Python data science libraries and statistical methods. Document each problem clearly, providing realistic business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with measurable business results. Portfolio of projects or publications demonstrating real-world problem-solving. Advanced Python skills for data science (pandas, numpy, scipy, scikit-learn, statsmodels). Strong background in statistical analysis and machine learning, including practical applications and algorithms. Expertise in SQL and database management for data manipulation and analysis. Familiarity with Generative AI tools and concepts (LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps and model deployment workflows. Experience with frameworks such as TensorFlow, PyTorch, and LangChain. Excellent written English at C1 level or above. Application process Apply Pass qualification(s) Join a project Complete tasks Receive payment This contract is remote and open to candidates based in Wisconsin, United States.

Apr 25, 2026

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Freelance Data Scientist (Python & SQL) - AI Solutions Expert

Toloka AI

Contract|$90/hr - $90/hr|Remote|Remote — Virginia, United States

We kindly request candidates to submit their CV in English along with their English proficiency level.At Toloka AI, we bridge the gap between skilled professionals and exciting project-based AI opportunities for top technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. This role is project-based and does not constitute permanent employment.What This Role EntailsEach project presents unique challenges, and contributors may be tasked with:Crafting original computational data science scenarios that emulate real-world analytical processes across diverse sectors, including telecom, finance, government, e-commerce, and healthcare.Designing problems that necessitate Python programming for resolution (utilizing libraries such as Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn).Ensuring that problems require significant computational resources, making manual solutions impractical within a reasonable timeframe (days or weeks).Engineering challenges that involve complex reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insights extraction.Creating deterministic problems with reproducible outcomes, avoiding stochastic elements unless fixed random seeds are employed for precise replication.Focusing on authentic business challenges, such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Designing comprehensive end-to-end problems that encompass the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Incorporating big data scenarios that require scalable computational techniques.Validating solutions using Python alongside standard data science libraries and statistical methodologies.Clearly documenting problem statements with realistic business contexts and providing verified correct solutions.What We Are Looking ForThis opportunity is ideal for Data Science professionals with extensive Python experience seeking part-time, non-permanent projects. Preferred qualifications include:5+ years of practical experience in data science with demonstrable business outcomes.A portfolio showcasing completed projects and publications that highlight real-world problem-solving capabilities.Advanced Python programming skills for data science (Pandas, NumPy, SciPy, Scikit-learn, Statsmodels).Deep expertise in statistical analysis and machine learning, with a thorough understanding of algorithms, methods, and their practical applications.Proficiency in SQL and database operations for data manipulation and analysis.Experience with generative AI technologies (LLMs, RAG, prompt engineering, vector databases).Familiarity with MLOps practices and model deployment workflows.Knowledge of contemporary frameworks (TensorFlow, PyTorch, LangChain).Strong written English proficiency (C1+).Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive payment

May 4, 2026

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Freelance Data Scientist (Python & SQL) - AI Project Specialist

Mindrift

Contract|$90/hr - $90/hr|Remote|Remote — Wisconsin, United States

We kindly request that you submit your CV in English along with your indicated level of English proficiency.Mindrift connects talented specialists with exciting project-based AI opportunities in collaboration with leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not entail permanent employment.What this opportunity entails:Designing innovative computational data science challenges that mimic real-world analytical workflows across various sectors, including telecommunications, finance, government, e-commerce, and healthcare.Creating problem sets that necessitate Python programming skills for resolution, employing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensuring that the problems presented are computationally demanding and cannot be addressed manually within reasonable timeframes (days to weeks).Developing tasks that require complex reasoning sequences in areas like data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Formulating deterministic challenges that yield reproducible results, avoiding stochastic components or requiring fixed random seeds for precise replication.Grounding problems in authentic business circumstances, such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Crafting end-to-end problems that encompass the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Incorporating scenarios that involve big data processing, requiring scalable computational strategies.Verifying solutions with Python, utilizing standard data science libraries and statistical techniques.Clearly documenting problem statements with credible business contexts and delivering verified correct answers.Ideal Candidate Profile:This opportunity is tailored for data science professionals with extensive experience in Python who are open to part-time, non-permanent projects. We are particularly looking for contributors who possess:A minimum of 5 years of hands-on data science experience with demonstrated business impact.A portfolio showcasing completed projects and publications that highlight real-world problem-solving skills.Proficient Python programming capabilities for data science (including pandas, numpy, scipy, scikit-learn, statsmodels).A strong foundation in statistical analysis and machine learning, with an in-depth understanding of algorithms, methods, and their practical applications.Expertise in SQL and database operations for effective data manipulation and analysis.Familiarity with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).An understanding of MLOps practices and model deployment workflows.Experience with contemporary frameworks (TensorFlow, PyTorch, LangChain).Strong English written communication skills (C1+ level).Application Process:Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensated.

May 4, 2026

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Freelance Data Scientist (Python & SQL) - AI Training Specialist

Toloka AI

Contract|$90/hr - $90/hr|Remote|Remote — Virginia, United States

Please submit your CV in English and indicate your English proficiency level. Toloka AI, in partnership with Mindrift, offers project-based opportunities for experienced data science professionals. Assignments support technology companies by testing, evaluating, and refining AI systems. All work is temporary and structured around individual projects, not ongoing employment. Role overview This freelance position centers on creating and validating computational challenges that mirror real-world data science workflows. Projects span sectors including telecommunications, finance, government, e-commerce, and healthcare. Each challenge is designed to require advanced analytical thinking and practical coding skills. What you will do Develop original data science problems that simulate business scenarios such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design tasks that require advanced Python programming, using libraries like Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are computationally intensive and may take significant time to solve. Cover the full data science pipeline: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include big data processing elements that require scalable solutions. Write deterministic, reproducible problems by avoiding randomness or using fixed seeds. Validate solutions in Python and document both the problem statements and correct answers clearly in a business context. Requirements Minimum 5 years of hands-on data science experience with proven business impact. Portfolio of completed projects or publications demonstrating real-world solutions. Advanced Python skills for data science, including experience with Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Strong foundation in statistical analysis and machine learning methods. Proficiency in SQL and database operations for data manipulation and analysis. Familiarity with Generative AI tools and concepts, such as large language models, retrieval-augmented generation, prompt engineering, and vector databases. Understanding of MLOps practices and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English communication skills at C1 level or above. How to apply Submit your application. Complete the required qualifications. Join a project. Finish assigned tasks. Receive payment. Location: Remote , Virginia, United States Note: All roles are temporary and project-based.

Apr 25, 2026

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Freelance Python Data Scraping Engineer

Mindrift

Part-time|$32/hr - $32/hr|Remote|Remote — Virginia, United States

Join Mindrift as a Freelance Python Data Scraping Engineer!We are seeking highly skilled Data Scraping Engineers to contribute to our Tendem project, which integrates advanced AI and human workflows for specialized data scraping tasks.In this unique role, referred to as an AI Pilot at Mindrift, you will work alongside Tendem Agents who manage repetitive tasks, while you apply your critical thinking, domain expertise, and quality control skills to ensure the delivery of precise and actionable data.This part-time, remote position is perfect for technical experts experienced in web scraping, data extraction, and processing.About MindriftThe Mindrift platform connects skilled professionals with cutting-edge AI projects from leading tech innovators. Our goal is to harness the power of Generative AI by leveraging real-world expertise from around the world.Your RoleAs a Python Data Scraping Engineer, you will manage the data scraping process, ensuring technical accuracy in web extraction and processing. You will utilize tools such as Apify and OpenRouter, as well as your own innovative methods to achieve optimal results.Core ResponsibilitiesOversee end-to-end data extraction workflows for complex websites, guaranteeing complete coverage, precision, and reliable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) in conjunction with custom solutions to enhance data collection, validation, and task execution while adhering to specified requirements.Adapt scraping techniques to reliably extract data from dynamic and interactive web sources, accommodating JavaScript-rendered content and evolving site behaviors.Maintain high data quality standards through validation checks, consistency controls from multiple sources, formatting adherence, and systematic verification prior to data delivery.Scale scraping capabilities for extensive datasets using efficient batching or parallelization, monitor failures, and ensure stability despite minor changes in site structure.CompensationContributors on this project can earn up to $32 per hour, depending on their experience and contribution pace. Compensation may vary across projects based on their scope and complexity.How to ApplyTo get started, simply apply to this posting, qualify, and have the opportunity to work on projects that align with your technical skills, all on your own schedule. Your contributions will be vital in advancing AI capabilities and real-world applications.QualificationsAt least 3 years of relevant experience in data engineering, web scraping, automation, or related fields.Proficiency in Python and web scraping frameworks.Strong analytical and problem-solving skills.Ability to work independently and manage multiple projects concurrently.

May 1, 2026

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Freelance Python Data Scraping Engineer

Mindrift

Part-time|$32/hr - $32/hr|Remote|Remote — Wisconsin, United States

Join Mindrift as a Freelance Python Data Scraping Engineer, where you'll be pivotal in the Tendem project, orchestrating sophisticated data scraping workflows within our innovative hybrid AI and human system.In this role, referred to as an AI Pilot at Mindrift, you will work in tandem with Tendem Agents who manage repetitive tasks. Your role will focus on applying your critical thinking, domain expertise, and quality control skills to ensure the delivery of accurate and actionable results.This part-time remote opportunity is perfect for technical professionals with a solid background in web scraping, data extraction, and processing.About MindriftMindrift connects specialists with groundbreaking AI projects from leading tech innovators. Our mission is to unleash the potential of Generative AI by leveraging real-world expertise from around the globe.Role OverviewThis freelance position involves executing data scraping tasks that demand technical precision for web extraction and processing. You will utilize various tools, including Apify and OpenRouter, alongside your creative problem-solving methods.Key ResponsibilitiesManage end-to-end data extraction workflows across complex websites, ensuring comprehensive coverage, accuracy, and reliable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) along with custom workflows to expedite data collection, validation, and task execution while adhering to defined requirements.Ensure dependable extraction from dynamic and interactive web sources, adjusting strategies as necessary to accommodate JavaScript-rendered content and evolving site behaviors.Implement data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability amidst minor site structure changes.CompensationContributors to this project can earn up to $32 per hour, depending on their contribution level and pace. Compensation may vary across different projects based on scope, complexity, and expertise required.How to ApplyApply to this posting, qualify, and seize the opportunity to engage in projects that align with your technical skills on your own schedule. From coding and automation to fine-tuning AI outputs, your role will be instrumental in advancing AI capabilities and real-world applications.RequirementsA minimum of 3 years of relevant experience in data engineering, web scraping, automation, or a related field.

May 1, 2026

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Freelance Python Data Scraping Engineer

Mindrift

Part-time|$32/hr - $32/hr|Remote|Remote — New York, United States

Join Mindrift as a Freelance Python Data Scraping Engineer on our innovative Tendem project, where you'll play a pivotal role in developing specialized data scraping workflows that integrate both AI and human intelligence.As an AI Pilot, you'll work closely with Tendem Agents who manage repetitive tasks, while you apply your critical thinking and domain expertise to ensure the accuracy and quality of the data we deliver. This part-time remote opportunity is tailored for professionals with hands-on experience in web scraping, data extraction, and processing.About MindriftAt Mindrift, we bridge the gap between human expertise and AI technology. Our platform connects skilled specialists with cutting-edge AI projects from leading tech innovators, empowering them to unlock the potential of Generative AI through real-world insights.Role OverviewAs a Python Data Scraping Engineer, you will manage complex data scraping tasks that demand technical precision for web extraction and processing. You'll utilize tools like Apify and OpenRouter, as well as your own innovative methods, to achieve outstanding results.Key ResponsibilitiesLead end-to-end data extraction workflows across intricate websites, guaranteeing comprehensive coverage, accuracy, and reliable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) along with your custom workflows to expedite data collection, validation, and task execution while adhering to defined requirements.Ensure consistent extraction from dynamic and interactive web sources, adapting your strategies to effectively handle JavaScript-rendered content and evolving website behaviors.Uphold data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.CompensationEarn up to $32 per hour based on your experience and contribution pace. Compensation may vary across projects depending on scope, complexity, and required expertise.How to ApplyInterested candidates can apply immediately to qualify for projects that align with your technical skills, working on your own schedule. From coding and automation to refining AI outputs, you will play a vital role in advancing AI capabilities and their real-world applications.

May 1, 2026

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Freelance Python Data Scraping Engineer

Mindrift

Part-time|$32/hr - $32/hr|Remote|Remote — Iowa, United States

Join Mindrift as a Freelance Python Data Scraping Engineer and contribute to the innovative Tendem project, where you will lead specialized data scraping workflows within our hybrid AI and human framework.As an AI Pilot at Mindrift, you will work closely with Tendem Agents who manage repetitive tasks, while your expertise in critical thinking and quality control will ensure the delivery of precise and actionable data.This part-time remote opportunity is perfect for technical professionals with substantial hands-on experience in web scraping and data processing.About MindriftMindrift is dedicated to connecting specialists with groundbreaking AI projects from leading tech innovators. Our mission is to harness the power of Generative AI by utilizing real-world expertise from around the globe.Role OverviewIn this freelance position, you will execute data scraping tasks with a focus on technical precision for web extraction and processing, employing various tools such as Apify and OpenRouter, as well as your own creative methods.Key ResponsibilitiesManage end-to-end data extraction workflows across intricate websites, ensuring comprehensive coverage, accuracy, and reliable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) along with custom workflows to enhance data collection, validation, and task execution while adhering to outlined requirements.Guarantee reliable extraction from dynamic and interactive web sources, adjusting strategies as necessary to manage JavaScript-rendered content and evolving site behaviors.Uphold data quality standards through validation checks, cross-source consistency controls, adherence to formatting requirements, and systematic verification before delivery.Scale scraping operations for extensive datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure alterations.CompensationContributors on this project can earn up to $32 per hour, contingent on their experience and contribution pace.Compensation varies across projects based on scope, complexity, and expertise required. Note that other projects on the platform may offer different earning levels based on specific needs.How to ApplyTo apply, simply submit your application, qualify, and seize the opportunity to work on projects that align with your technical skills, on your own schedule. From coding and automation to enhancing AI outputs, you will play a pivotal role in advancing AI capabilities and their real-world applications.QualificationsMinimum of 3 years of relevant experience in data engineering, web scraping, automation, or related fields.Proficient in Python programming and data extraction techniques.Experience with tools like Apify and OpenRouter is advantageous.Strong analytical skills and attention to detail.Ability to adapt to dynamic web environments and troubleshoot efficiently.

May 1, 2026

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Freelance Python Data Scraping Engineer

toloka-ai

Part-time|$32/hr - $32/hr|Remote|Remote — San Antonio, Texas, United States

Join Mindrift as a Freelance Python Data Scraping Engineer!Are you a talented Python Data Scraping Engineer eager to make an impact? Mindrift is seeking skilled professionals to contribute to the Tendem project by optimizing data scraping workflows within our innovative hybrid AI + human system.As an AI Pilot—our term for this role—you will work alongside Tendem Agents handling repetitive tasks, while you bring your critical thinking skills, domain expertise, and quality control to ensure precise and actionable outcomes.This part-time remote opportunity is perfect for technical experts experienced in web scraping, data extraction, and processing.About MindriftAt Mindrift, we connect specialists with cutting-edge AI projects from leading tech innovators. Our mission is to unlock the potential of Generative AI by leveraging real-world expertise from around the globe.Your RoleAs a Python Data Scraping Engineer, you will manage data scraping tasks that demand technical accuracy for web extraction and processing. Utilize our internal tools like Apify and OpenRouter, as well as your creative problem-solving skills, to achieve efficient results.Key ResponsibilitiesOversee end-to-end data extraction workflows across intricate websites, guaranteeing thorough coverage, accuracy, and dependable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) and custom workflows to expedite data collection, validation, and task execution, ensuring all requirements are met.Adapt strategies to reliably extract data from dynamic and interactive web sources, including handling JavaScript-rendered content and changes in site behavior.Implement data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.Scale scraping operations for large datasets effectively, employing batching or parallelization, while monitoring failures and maintaining stability against minor changes in site structure.CompensationContributors can earn up to $32 per hour, based on their expertise and contribution pace. Note that compensation may differ across projects depending on their complexity and requirements.Getting StartedReady to join us? Apply now to qualify and engage in projects that match your technical skills, on your own schedule. From coding and automation to refining AI outputs, you will play a vital role in advancing AI capabilities and real-world applications.

May 1, 2026

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Software Engineer II / Senior Engineer, Life Sciences Data Science

Lila Sciences

Full-time|$120K/yr - $192K/yr|On-site|Cambridge, MA USA

Your Contribution at Lila Sciences Be a part of innovating the scientific landscape! We are on the lookout for a talented software engineer with a background in life sciences to enhance our data science team. In this role, you will collaborate closely with software engineers, laboratory scientists, and machine learning engineers to develop state-of-the-art tools for automated scientific analysis and beyond. Your expertise in web services and data engineering, particularly in Python development for scientific applications, will be crucial. If you excel in a collaborative and fast-paced environment while adhering to best practices in git, development workflows, and user-centered design, we encourage you to apply! Your Responsibilities Engage in the complete software development life cycle, concentrating on the design, implementation, and maintenance of software services. Create reusable code and libraries to enhance efficiency and scalability. Ensure development aligns with strategic objectives, facilitating software that meets broader organizational requirements. Oversee git repositories, manage the team’s Jira board and Notion Hub, advocate for best practices, assist laboratory scientists in utilizing new tools, and cultivate a collaborative development culture. Collaborate directly with scientists to identify gaps and unmet needs, crafting customized software solutions for data management, LIMS functionality, and data automation. Advocate for infrastructure as code and devise efficient deployment strategies. Produce clear, concise documentation for both engineering teams and end users. Required Qualifications A minimum of 2 years of experience in software development within a commercial environment. High proficiency in Python programming. Solid understanding of git best practices. Strong listening skills and the patience to thoroughly understand user challenges. Experience in implementing scalable software solutions. Exceptional problem-solving abilities and a team-oriented mindset. Excellent communication skills for effective collaboration with team members and stakeholders. A proactive self-starter with independent thinking capabilities and keen attention to detail. Desire to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial technical setting. Preferred Qualifications A background in biological sciences. Familiarity with data science and machine learning libraries (e.g., pandas, numpy, scipy). Knowledge of modern developer tools (e.g., pydantic, pyright, uv). Understanding of Kubernetes, ArgoCD, and GitHub Actions.

Mar 4, 2026

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Data Engineer Co-op

Megazone Cloud

Internship|On-site|Rochester, NY

Join Our Team as a Data Engineer Co-opAt Megazone Cloud, we are seeking a passionate and innovative Data Engineer Co-op who thrives on building solutions and tackling real-world customer challenges. If you have a curious mind and a proactive attitude, we want to hear from you!This is your chance to dive into the world of data engineering, transitioning from academic theories to hands-on professional experience. We embrace a versatile skill set, ideal for those ready to engage in a dynamic environment and learn a modern tech stack through practical involvement.Your RoleHands-On Contribution: Become an integral member of our technical team, actively participating in the development and maintenance of our data pipelines that drive business and client solutions.Mentorship Opportunities: Work alongside experienced engineers under a mentorship model that aims to enhance your technical skills.Development Tasks: Write, refine, and optimize Python and SQL code for process automation and data workflow management.Project Engagement: Attend team meetings and contribute fresh insights during technical discussions and design sessions.Tooling Exposure: Gain practical experience with technologies such as AWS, Databricks, and Snowflake.Collaborative Work: Collaborate with data science and infrastructure teams to understand how high-growth startups scale their operations.Your Profile (Requirements)Education: Currently enrolled in a Bachelor's or Master's degree program in Computer Science, Data Science, or a related technical discipline.Timeline: Anticipated graduation date of December 2026 or later.Core Skills: Experience with Python and SQL through academic projects or coursework.Foundational Knowledge: Strong understanding of data structures, algorithms, and database concepts.Mindset: A proactive builder mentality with a strong desire for technical growth.Communication Skills: Ability to articulate technical concepts clearly and collaborate effectively within a team setting.Eligibility: Must be authorized to work in the United States.

Feb 23, 2026

Freelance Data Science Engineer (Python & SQL)

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