Material Science Specialist with Python - Freelance AI Educator

Please submit your CV in English and indicate your English proficiency level. About Mindrift Mindrift connects skilled specialists with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a freelance, project-based role, not permanent employment. Role Overview The Material Science Specialist with Python will contribute to a variety of projects. Tasks may include: Designing material engineering challenges that reflect real engineering workflows Developing problems that require Python programming to solve engineering calculations and simulations Ensuring tasks are computationally intensive, involving numerical methods or iterative solutions Creating challenges focused on system design, optimization, and analysis Basing problems on real-world research or practical engineering scenarios Validating solutions using Python and well-established engineering libraries Documenting problem statements clearly and providing accurate, verified solutions Who Should Apply This freelance role suits material science professionals and engineers with Python skills who are interested in part-time, project-based work. Preferred qualifications include: Degree in Material Science or a closely related field Proficiency in Python for numerical validation (experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or relevant libraries is welcome) At least 2 years of relevant experience in applied, research, or teaching roles Strong grasp of practical engineering constraints and approximations Excellent written English skills (C1 level or higher) How Projects Work Submit your application Complete qualification steps Join a project Complete assigned tasks Receive payment Time Commitment Active project phases typically require 10–20 hours per week. Actual workload may vary with project needs. Compensation Earn up to $76 per hour, depending on contribution level and project pace. Compensation varies by project scope, complexity, and expertise required. Different projects may offer different pay rates based on their specific requirements.

Please submit your CV in English and specify your English proficiency level. This freelance, project-based role with toloka-ai (via Mindrift) centers on testing, evaluating, and improving AI systems for technology clients. The work is remote and based in Virginia, United States. This position does not offer permanent employment. Role overview Material Scientists in this role design and document engineering problems that mirror real-world workflows. The focus is on creating computational challenges that require Python for calculations and simulations. Problems should involve numerical methods, iterative solutions, and reflect real research questions or practical engineering scenarios. Each task must be validated using Python and established engineering libraries, with clear documentation and verified solutions. Key responsibilities Develop original materials engineering problems based on real applications Create complex challenges requiring Python programming Ensure tasks are computationally intensive and use numerical or iterative methods Design scenarios involving system design, optimization, and analysis Validate solutions with Python and relevant libraries Document problem statements and provide verified solutions Requirements Degree in Material Science or a related discipline Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar languages is a plus Minimum of 2 years’ relevant experience (applied, research, or teaching) Understanding of practical engineering constraints and approximations Excellent written English (C1 level or above) Process Apply Pass qualification(s) Join a project Complete tasks Receive compensation Time commitment Projects generally require 10–20 hours per week during active periods. Actual workload may change depending on project needs. Compensation Contributors can earn up to $76 per hour, depending on experience, pace, and project scope. Rates may vary according to complexity and required expertise.

Please submit your CV in English and indicate your level of English proficiency. Toloka AI, working with Mindrift, offers freelance, project-based assignments focused on advancing AI systems for technology clients. This contract role is temporary and centers on evaluating and improving AI through real-world engineering challenges. The position is remote and based in San Antonio, Texas, United States. Role overview This freelance assignment involves designing and validating material science problems that reflect actual engineering workflows. Assignments require both subject matter expertise and strong Python programming skills to create, test, and document computationally intensive tasks. What you will do Develop material engineering challenges based on authentic research questions or practical scenarios. Create problems that require Python programming for calculations, simulations, and numerical analysis. Ensure tasks involve computational complexity, using numerical methods or iterative solutions where appropriate. Design assignments related to system design, optimization, and analysis. Validate all solutions using Python and standard engineering libraries. Document each problem clearly and provide accurate, verified solutions. Requirements Degree in Material Science or a closely related discipline. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus. Minimum of 2 years of professional experience in applied, research, or teaching roles. Solid understanding of engineering constraints and practical approximations. Excellent written English (C1 level or above). Project workflow Application Qualification Assessment Project Engagement Task Completion Compensation Time commitment During active project phases, expect to dedicate approximately 10–20 hours per week. Actual workload may fluctuate based on project requirements. Compensation Contributors may earn up to $76 per hour, depending on project complexity, contribution level, and pace. Compensation varies by assignment and expertise required. Other projects on the platform may offer different rates.

Please submit your CV in English, including your language proficiency level. Mindrift connects skilled professionals with freelance, project-based AI assignments for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. This is not a permanent position. Role overview This freelance role centers on designing and validating material engineering challenges that mirror real-world workflows. Assignments require both subject matter expertise in material science and strong Python programming skills. What you will do Create engineering problems that reflect practical scenarios in material science Develop tasks requiring Python for engineering calculations, simulations, and computational analysis Design problems involving numerical methods, iterative solutions, system design, optimization, and analysis Base challenges on real research questions or practical engineering issues Validate problem solutions using Python and standard engineering libraries Document problem statements clearly and provide accurate, verified answers Requirements Degree in Material Science or a related discipline At least 2 years of professional experience (applied, research, or teaching) Proficient in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued Strong understanding of practical engineering constraints and approximations Written English at C1 level or higher Interest in part-time, project-based work How to join Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment During active projects, expect about 10–20 hours of work per week, depending on project needs. Actual workload may vary. Compensation Earn up to $76 per hour, based on expertise and contribution pace. Rates depend on project scope, complexity, and specialized knowledge. Some projects may offer different rates according to their requirements.

Please submit your CV in English and include your English proficiency level. Mindrift connects professionals with project-based AI work for technology companies. Assignments focus on evaluating, testing, and improving AI systems. This is a project-based, non-permanent role. Role overview This freelance position centers on material science and Python programming. AI Trainers work on tasks such as: Designing original materials engineering challenges that mirror real-world workflows Creating problems that require Python programming for calculations and simulations Ensuring tasks are computationally intensive, using numerical methods or iterative solutions Developing scenarios for system design, optimization, and analysis Formulating problems based on research questions or practical engineering applications Validating solutions in Python with standard engineering libraries Documenting problem statements clearly and providing verified solutions Requirements Degree in Material Science or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued Minimum 2 years of relevant experience (applied, research, or teaching) Strong understanding of practical engineering constraints and approximations Excellent written English skills at C1 level or higher How to apply Submit your application Complete required qualifications Join a project Finish assigned tasks Receive payment Project commitment During active project phases, work typically ranges from 10 to 20 hours per week. Actual hours depend on project needs and are not guaranteed. Compensation Contributors can earn up to $76 per hour, depending on experience, pace, and project complexity. Actual rates vary by assignment. Location This is a remote contract role based in Wisconsin, United States.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals with project-based AI assignments for leading technology companies. This freelance, project-based role does not offer permanent employment. Role overview This freelance AI Trainer position is open to candidates based in New York or elsewhere in the United States. Projects focus on materials science and Python programming, with each assignment presenting new technical challenges. The work is fully remote. What you will do Design materials engineering problems that reflect real-world engineering workflows. Create tasks involving Python programming for calculations and simulations. Develop problems that require computationally intensive approaches, such as numerical methods or iterative solutions. Build scenarios related to system design, optimization, and analysis. Base problems on authentic research challenges or practical engineering applications. Validate solutions in Python, using established engineering libraries. Document problem statements clearly and provide accurate, verified solutions. Requirements Degree in Material Science or a closely related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus. Minimum 2 years of professional experience (applied, research, or teaching). Strong understanding of practical engineering constraints and approximations. Excellent written English at C1 level or above. Project workflow Application → Qualification(s) → Project Engagement → Task Completion → Payment Time commitment Expect to dedicate roughly 10–20 hours per week during active project periods. Workload may vary depending on project needs and is not guaranteed. Compensation Rates can reach up to $76 per hour, depending on expertise and contribution speed. Pay may differ by project, reflecting scope, complexity, and required skills.

We invite you to submit your CV in English, detailing your level of English proficiency.At Mindrift, we connect skilled professionals with project-based opportunities in AI for top technology firms, emphasizing the testing, evaluation, and enhancement of AI systems. Note that engagement is project-based and not a permanent position.Role OverviewThis role encompasses a variety of tasks tailored to each project, including:Creating complex mathematics problems that mirror real-world applications;Assessing AI solutions for accuracy, underlying assumptions, and limitations;Validating calculations or simulations utilizing Python libraries (NumPy, Pandas, SciPy);Refining AI reasoning to meet industry-standard logical frameworks;Implementing structured scoring criteria for multi-step mathematical problems.Candidate ProfileThis position is ideal for mathematicians with Python experience who are interested in part-time, non-permanent projects. The ideal candidates should possess:A degree in Mathematics or a related field, such as Algebra, Calculus, or Number Theory;A minimum of 3 years of professional experience in mathematics;Proficiency in English at a strong written level (C1/C2);Advanced Python skills for numerical validation;A reliable internet connection.Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects will be advantageous.ProcessSteps to engage: Apply → Complete qualifications → Join a project → Execute tasks → Receive payment.Project CommitmentFor this role, tasks are projected to require approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and not a guaranteed workload.CompensationPaid contributions, with rates up to $55/hour*Compensation may include fixed project rates or individual rates based on project specifications;Some projects may offer incentive payments.*Note: Rates are subject to variation based on expertise, skills assessment, location, project requirements, and other factors. Higher rates may be available for highly specialized professionals.

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.

Toloka AI is seeking a Freelance AI Trainer with a strong background in both Biology and Python. This remote contract role is based in Wisconsin, United States. Role overview This position centers on creating and presenting training materials for AI projects. The main focus is on helping others understand biological concepts and Python programming as they relate to artificial intelligence work. What you will do Develop clear, effective training content covering biology and Python topics Deliver these materials to support AI project teams Communicate complex ideas in a way that is accessible and engaging Requirements Expertise in biology Strong knowledge of Python programming Ability to explain technical subjects clearly

Toloka AI is looking for a Freelance AI Training Consultant with a strong background in biology and Python programming. This remote role is based in Iowa, United States. Role overview This position centers on supporting AI training programs that involve biological applications. The consultant will apply both biology expertise and Python skills to help improve educational materials and training processes for artificial intelligence projects. What you will do Contribute biological knowledge to AI training initiatives Use Python programming to support and refine training content Offer guidance to enhance the quality and effectiveness of AI education programs Location This is a remote position open to candidates located in Iowa, United States.

Are you a passionate science specialist keen to influence the future of artificial intelligence? As large-scale language models transition from advanced chatbots to robust tools for scientific exploration, your expertise will be crucial in shaping the next generation of AI. By providing high-quality training data, you can help democratize access to top-tier education, stay aligned with pioneering research, and enhance problem-solving capabilities for scientists and learners alike. We are in search of science specialists who excel in fields such as physical science, earth science, environmental science, chemistry, physics, astronomy, and scientific literacy. Your role will involve challenging sophisticated language models on topics like energy transformation, atomic structure, planetary motion, ecological systems, the water cycle, and scientific inquiry. You will meticulously document every failure mode to strengthen the model's reasoning. Your typical day will include engaging with the model on practical scenarios and theoretical science questions, verifying the accuracy of facts and the soundness of logic, capturing reproducible error traces, and providing insightful recommendations for enhancing our prompt engineering and evaluation metrics. A Bachelor's, Master's, or PhD in a science-related field is preferred. Experience in teaching, publishing, conducting lab or field research, or engaging in science communication projects will be advantageous. Exceptional communication skills, particularly the ability to articulate your thought process, are essential. Are you ready to leverage your scientific expertise to contribute to the knowledge base for tomorrow's AI? Apply now and start training the model that will educate the world.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift specializes in connecting talented professionals with project-based opportunities in artificial intelligence for top tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is on a project basis, not a permanent employment arrangement.Role OverviewEach project presents unique challenges, and contributors may be tasked with the following:Crafting comprehensive statistical problems that mirror industry practices;Assessing AI solutions for accuracy, underlying assumptions, and limitations;Verifying computations or simulations utilizing Python libraries such as NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn;Enhancing AI reasoning to meet industry-standard logical frameworks;Implementing structured scoring criteria for complex, multi-step problems.Ideal Candidate ProfileThis opportunity suits statisticians with Python experience who are open to part-time, non-permanent engagements. Preferred qualifications include:A degree in Statistics or a related discipline, such as Probability Theory, Mathematical Statistics, or Applied Statistics;A minimum of 3 years of professional experience in mathematics;Exceptional written English skills (C1/C2 level);Advanced Python skills for numerical validation;A reliable internet connection.Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience with international or applied projects are advantageous.Application ProcessTo apply, please submit your application, pass any required qualifications, join a project, complete assigned tasks, and receive compensation.Expected CommitmentDuring active project phases, tasks are anticipated to require approximately 10–20 hours per week, based on project demands. This is an estimate and does not guarantee a specific workload.CompensationCompensation for contributions, with rates up to $73/hour*;Fixed project rates or individual rates, determined by project specifics;Some projects may include incentive payments.*Note: Rates may vary based on expertise, skills assessment, location, project requirements, and other factors. Highly specialized experts may receive higher rates. Lower rates may apply during onboarding or non-core project phases. Payment specifics will be provided for each project.

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 Freelance Data Science Engineer (Python & SQL) works remotely from Virginia, United States, and takes on a variety of AI-related projects. Assignments change from project to project, but the core work centers on designing and validating computational data science challenges that reflect real-world analytical problems across industries like telecommunications, finance, government, e-commerce, and healthcare. Develop data science problems that require Python programming, using libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Ensure tasks are complex enough to need significant computation and cannot be solved manually in a short time. Create scenarios involving advanced data processing, statistical analysis, feature engineering, predictive modeling, and business insight generation. Design deterministic problems with reproducible results, using fixed random seeds if randomness is necessary. Base assignments on real business challenges like customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Build end-to-end tasks that cover the data science workflow: data ingestion, cleaning, exploration, modeling, validation, and deployment considerations. Integrate big data scenarios that require scalable computation strategies. Validate solutions using Python, standard data science libraries, and statistical methods. Document each problem clearly, including realistic business contexts and verified solutions. Requirements Minimum 5 years of hands-on data science experience with proven business results. Portfolio of completed projects or publications that highlight practical problem-solving skills. Advanced Python programming for data science, especially with Pandas, Numpy, Scipy, and Scikit-learn. Strong background in statistical analysis and machine learning, including algorithms and real-world applications. Proficiency in SQL and database operations for data analysis. Experience with Generative AI (LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps and model deployment processes. Familiarity with tools such as TensorFlow, PyTorch, and LangChain. Excellent written English skills at C1 level or higher. How to join Apply Pass qualifications Join a project Complete tasks Receive compensation

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI assignments for leading technology companies. These projects focus on assessing, evaluating, and improving AI systems. Participation is on a project basis and does not represent permanent employment. What you will do Create original computational mathematics problems that mirror real mathematical research workflows Design problems requiring Python programming to solve, using libraries such as Numpy, SciPy, or Sympy Ensure problems are computationally intensive and cannot be solved manually in a reasonable timeframe Develop problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Base scenarios on real-world research challenges or practical mathematical applications Validate solutions using Python and standard mathematical libraries Document problem statements clearly and provide accurate, verified solutions Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other relevant programming languages is also considered At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems reflecting authentic mathematical research processes Understanding of computational complexity theory Excellent written English skills (C1+ level) How to apply The application process includes: Apply → Pass qualifications → Join a project → Complete tasks → Get compensated. Time commitment Tasks typically require around 10–20 hours per week during active project phases. Actual workload may vary depending on project needs. Compensation Contributors may earn up to $76 per hour, depending on expertise and pace. Earnings vary by project scope, complexity, and required skills. Other projects on the platform may offer different compensation based on their requirements.

Toloka AI is looking for a Freelance AI Trainer with a strong background in biology and Python. This remote contract role is open to candidates based in San Antonio, Texas, or elsewhere in the United States. Role overview This position centers on training and improving AI models for applications in biology. The work involves applying both subject matter knowledge and Python skills to help shape technology that supports research and education in the life sciences. What you will do Use expertise in biology and Python to guide the development of AI models Contribute to projects that aim to advance tools for biological research and learning Requirements Strong knowledge of biology Proficiency with Python Interest in AI model training and improvement

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

Toloka AI is seeking a freelance Biology and Python Specialist to help train and develop AI models focused on biology. This contract role is fully remote and open to candidates based in the United States, including New York. Role overview This position centers on applying biological knowledge and Python skills to support the creation and improvement of AI systems. The work involves contributing to projects that use artificial intelligence in biological contexts. Location This is a remote freelance role. Candidates may work from anywhere in the United States.

Please submit your CV in English and indicate your level of English proficiency.Join Mindrift, where we bridge the gap between talented specialists and exciting project-based AI opportunities with leading tech companies. Our focus lies in testing, evaluating, and enhancing AI systems. Note: This position is project-based and does not offer permanent employment.What You Will DoEach project presents unique challenges, and you may be tasked with:Crafting challenging Computer Science problems that mirror real-world applications;Assessing AI solutions for accuracy, underlying assumptions, and constraints;Validating computations or simulations utilizing Python (NumPy, Pandas, SciPy);Enhancing AI reasoning to meet industry standards;Implementing detailed scoring criteria for complex, multi-step problems;Collaborating with a global network of PhD professionals to uphold the highest scientific integrity.Who We Are Looking ForThis role is ideal for Computer Science professionals with Python experience who are open to part-time, non-permanent projects. The ideal candidate will possess:A degree in Computer Science or a related field.Proficiency in Python for numerical validation, with knowledge of MATLAB, R, C, SQL, NumPy, Pandas, SciPy, and other domain-specific libraries being a plus.A minimum of 2 years of relevant experience in applied, research, or teaching roles.Exceptional written English skills (C1+ level).Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How to Get Started1. Apply → 2. Pass qualifications → 3. Join a project → 4. Complete tasks → 5. Get compensatedProject Time CommitmentDuring active phases, expect to dedicate approximately 10–20 hours per week, based on project requirements. This is an estimate and not a guaranteed workload.CompensationEarn up to $80 per hour, contingent upon your expertise and contribution pace. Compensation varies with project scope, complexity, and required skills. Please be aware that different projects may offer varying pay rates based on specific needs.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects skilled professionals with project-based AI work for major technology companies. The focus is on testing, evaluating, and improving AI systems. This is a project-based, non-permanent role. Role overview This freelance position combines electrical engineering expertise with Python programming skills. Contributors work on assignments that mirror real-world engineering workflows and research challenges. Projects focus on designing and verifying computational problems that require advanced calculations and simulations. Create engineering problems that involve system design, optimization, and analysis Develop scenarios requiring numerical methods or iterative solutions using Python Base assignments on practical engineering tasks or current research topics Verify solutions in Python, applying standard engineering libraries Document problem statements and provide clear, accurate answers Requirements Degree in Electrical Engineering or a closely related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is a plus At least 2 years of professional experience in applied, research, or educational contexts Understanding of engineering constraints and practical approximations Strong English writing skills at C1 level or higher Certifications such as CMME, SAS, or CAP, and experience with international or applied projects are advantageous How to participate The process includes applying, passing qualifications, joining a project, completing assigned tasks, and receiving compensation. Project commitment During active project phases, tasks typically require 10–20 hours per week. Workload may vary and is not guaranteed outside these periods. Compensation Contributors may earn up to $69 per hour, depending on expertise and project requirements. Compensation varies by assignment, based on scope, complexity, and required skills. Other projects on the platform may offer different rates. Location: Remote , Virginia, 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.