Please submit your CV in English and indicate your level of English proficiency.Mindrift is dedicated to linking talented specialists with innovative project-based opportunities in AI for top-tier technology companies, emphasizing the evaluation, testing, and enhancement of AI systems. This is a project-based engagement and does not constitute permanent employment.Opportunity OverviewEach project presents a variety of unique tasks that contributors may undertake, including:Creating original materials that simulate authentic engineering workflows;Formulating engineering problems that necessitate Python programming for simulations and calculations;Ensuring that these problems are computationally intensive, requiring numerical methods or iterative solutions;Developing challenges around system design, optimization, and analysis;Designing problems based on real-world research challenges or practical applications from the field;Validating solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified, accurate answers.Qualifications and Skills RequiredThis role is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent work arrangements. The ideal candidates will possess:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any comparable programming language is acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written communication skills in English (C1+ level).How the Process WorksApplication → Qualification Assessment → Project Engagement → Task Completion → CompensationExpected Project CommitmentThis project anticipates a commitment of approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and does not guarantee a specific workload.Compensation DetailsContributors can earn up to $35 per hour, subject to their expertise and contribution pace. Please note that compensation may vary significantly across different projects based on their complexity and scope.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects professionals with project-based AI work for technology companies. The focus is on assessing, evaluating, and improving AI systems. All positions are project-based and do not offer permanent employment. Role overview This freelance, remote position is available to candidates based in Manitoba, Canada. Material scientists with strong Python expertise will design and validate engineering challenges for AI projects. The work centers on creating realistic problems and ensuring solutions are accurate and practical. Main responsibilities Develop materials engineering problems that reflect real-world processes Create tasks requiring Python programming for calculations and simulations Ensure problems involve computational complexity, such as numerical methods or iterative solutions Design challenges focused on system design, optimization, and analysis Base problems on authentic research or practical engineering scenarios Validate all solutions using Python and standard engineering libraries Document problem statements clearly and provide verified solutions Requirements Degree in Material Science or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus At least 2 years of relevant experience in industry, research, or teaching Solid understanding of practical engineering constraints and approximations Strong written English skills at C1 level or higher Project commitment Expect to contribute roughly 10–20 hours per week during active project phases. Actual workload may vary depending on project needs. This estimate applies only during active phases and does not guarantee a set number of hours. Compensation Earn up to $35 per hour, depending on contribution and pace. Compensation may vary by project based on complexity, scope, and required expertise. Other projects on the platform may offer different rates depending on their needs. Application process Apply Meet qualifications Join a project Complete assigned tasks Receive compensation

We invite you to submit your resume in English and specify your proficiency level in the English language.At Mindrift, we specialize in connecting talented professionals with project-based opportunities in the AI sector, collaborating with leading technology companies to test, evaluate, and enhance AI systems. Please note that participation is project-based and does not constitute permanent employment.Opportunity OverviewAs a contributor, you will engage in various unique projects that may involve:Designing original computational engineering problems that accurately simulate real-world engineering workflows;Creating Python-based problems for solving engineering calculations and simulations;Ensuring problems are computationally intensive, necessitating numerical methods or iterative solutions;Developing problems related to system design, optimization, and analysis;Utilizing real research challenges or practical applications from engineering practice as the basis for problems;Verifying solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified answers.Qualifications We SeekThis role is ideal for engineers with Python expertise who are interested in part-time, non-permanent project work. We ideally seek candidates with:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation, with experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or equivalent programming languages;At least 2 years of professional experience in applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects are advantageous.Process OverviewApplication → Qualification Assessment → Project Engagement → Task Completion → CompensationProject Time CommitmentDuring active phases of the project, contributors can expect to commit approximately 10–20 hours per week based on project requirements. This is an estimate and not a guaranteed workload.Compensation DetailsContributors to this project have the potential to earn up to $39 per hour, contingent on their contribution level and pace. Please be aware that compensation may differ across different projects based on their scope, complexity, and required expertise.

Please submit your CV in English and indicate your English proficiency level. toloka-ai, together with Mindrift, offers project-based freelance work for professionals interested in AI systems related to physics and optics. This is a remote contract role for candidates based in Manitoba, Canada. The position centers on evaluating and improving AI systems by designing and solving advanced optical and physics problems. This is not a permanent staff position; work is assigned according to current project needs. Key Responsibilities Design original optical problems that reflect real-world physics research workflows Create computationally intensive challenges that go beyond manual calculations Develop problems requiring advanced reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problem scenarios on actual research or practical applications in optics and physics Clearly document each problem statement and provide accurate, verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field Minimum of 2 years of professional experience in applied, research, or teaching roles Proficiency with numerical simulation methods Experience designing problems based on real research processes in physics Creative approach to developing problems across various physics domains Familiarity with modeling and approximation techniques in physics Strong written English skills at C1 level or above How to Join Apply Meet qualification criteria Join a project Complete assigned tasks Receive compensation Project Commitment During active project phases, contributors usually spend 10–20 hours per week. Workload may vary and is not guaranteed outside of these periods. Compensation Earnings can reach up to $35 per hour, depending on expertise and pace. Project rates vary based on complexity, scope, and required knowledge. Other projects on the platform may offer different compensation depending on their requirements.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals with project-based assignments that help advance AI systems for major technology companies. This freelance position is project-based and not a permanent role. Role overview The Freelance Data Science Engineer works on complex projects in sectors including telecom, finance, government, e-commerce, and healthcare. The main focus is designing and validating data science problems that closely resemble real analytical workflows in industry. What you will do Create original computational data science problems that reflect real-world analysis tasks. Develop challenges that require advanced Python programming, using libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Design problems that are computationally intensive and would take days or weeks to solve manually. Build scenarios involving complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Produce deterministic problems with reproducible results by using fixed random seeds and avoiding stochastic elements. Address business topics like customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end challenges covering the full data science pipeline, from data ingestion to deployment considerations. Include big data scenarios that require scalable computational solutions. Validate solutions using Python and standard data science tools. Document each problem with a realistic business context and provide verified solutions. Requirements At least 5 years of hands-on data science experience with proven business impact. A portfolio of completed projects or publications that demonstrate strong problem-solving skills. Advanced Python skills for data science, including experience with Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Expertise in statistical analysis and machine learning, with a solid understanding of algorithms and practical applications. Proficiency in SQL and experience with database operations for analysis and manipulation. Experience with GenAI technologies such as LLMs, RAG, prompt engineering, and vector databases. Familiarity with MLOps practices and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English skills (C1 level or higher). How to apply Submit your application and CV in English. After passing the qualification process, join a project to complete tasks and receive payment. Location Remote , Manitoba, Canada

We encourage you to submit your CV in English and specify your level of English proficiency.At Mindrift, we connect talented specialists with exciting project-based AI opportunities for top-tier tech firms. Our focus is on testing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not entail permanent employment.Opportunity OverviewWhile each project presents distinct challenges, contributors may be tasked with:Creating innovative optics problems that replicate genuine physics research workflows;Ensuring that these problems are computationally demanding and cannot be solved manually within feasible timeframes;Formulating problems that necessitate complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Drawing from authentic research dilemmas or practical applications in optics and physics;Clearly documenting problem statements and providing verified correct solutions.Ideal Candidate ProfileThis role is perfect for optical engineers who are open to part-time, non-permanent engagements. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;At least 2 years of professional experience, whether in applied work, research, or teaching;Proficiency in numerical simulation methodologies;The capability to design problems that reflect real-world physics research practices;Innovative thinking in problem development across various physics domains;Familiarity with physics modeling and approximation methods;Excellent written English skills (C1+).Application ProcessTo apply, simply follow these steps: Apply → Pass qualification(s) → Join a project → Complete tasks → Receive payment.Project Engagement ExpectationsFor this initiative, the expected workload is approximately 10–20 hours per week during active project phases, contingent upon the specific project requirements. This is an estimate and not a guaranteed workload.Compensation StructureContributors can earn up to $35 per hour, depending on their skill level and contribution pace. Please be aware that compensation varies across projects based on their scope, complexity, and expertise required. Different projects may present varying earning opportunities.

We invite you to submit your CV in English and specify your English proficiency level.Mindrift connects talented professionals with project-based AI opportunities for leading technology firms, focusing on the evaluation, testing, and enhancement of AI systems. This is a project-based engagement, not a full-time position.Project Overview:Each project involves distinctive tasks, including:Creating innovative computational physics problems that emulate authentic physics research workflows;Developing programming challenges that necessitate Python solutions (utilizing Numpy, SciPy, Sympy);Ensuring tasks are computationally demanding and unsuitable for manual resolution within practical timeframes (days/weeks);Constructing problems that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or applications from the field of physics;Validating solutions using Python with established physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Candidate Profile:This role is ideal for physicists with Python expertise who are interested in part-time, project-based engagements. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or any programming language is equivalent;At least 2 years of relevant professional experience: applied, research, or teaching experience is applicable;Experience with numerical simulation methodologies;Ability to design problems that reflect authentic physics research workflows;Creative problem design skills across various physics domains;Familiarity with physics modeling and approximation techniques;Strong command of written English (C1+ proficiency).Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.Project Commitment:For this project, contributors are expected to allocate approximately 10–20 hours per week during active phases, contingent on project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $35 per hour, depending on their contribution level and pace. Compensation may vary across projects based on their scope, complexity, and required expertise.

We invite you to submit your CV in English and specify your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities for top technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Overview of the OpportunityEach project presents unique challenges, and contributors may be tasked with:Designing original computational engineering problems that reflect real-world engineering workflows;Creating problems that necessitate Python programming to perform engineering calculations and simulations;Ensuring the problems are computationally intensive and require numerical methods or iterative solutions;Developing problems centered on system design, optimization, and analysis;Creating challenges based on authentic research issues or practical applications from the engineering field;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis role is well-suited for engineers proficient in Python who are open to part-time, non-permanent projects. Ideally, candidates should possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;A minimum of 2 years of professional experience in applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessTo apply, follow these steps: Apply → Pass qualification checks → Join a project → Complete tasks → Get compensated.Project Time CommitmentDuring active phases, tasks are anticipated to require approximately 10-20 hours per week, depending on project needs. This estimate is not a guaranteed workload and is applicable only while the project is ongoing.CompensationContributors can earn up to $39 per hour, contingent on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Other projects on the platform may offer different earning opportunities based on their specific requirements.

Mindrift connects skilled professionals with project-based roles in AI development, focusing on testing, evaluating, and improving advanced AI systems. This freelance position is open to candidates based in Manitoba, Canada, and is not a permanent role. Role overview The Chemistry & Python Specialist will contribute to projects by designing and validating complex computational chemistry problems. Tasks emphasize real-world research scenarios and require strong analytical and programming abilities. Contributors play a key part in shaping AI systems used by leading technology firms. What you will do Create original computational chemistry problems that reflect authentic research workflows Develop programming challenges in Python, using libraries such as NumPy and SciPy Design tasks that are computationally intensive and require extended effort to solve Formulate problems involving advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling Base problem statements on real research challenges or practical chemistry applications Validate solutions using Python and established computational chemistry methods Document problem statements clearly and supply verified solutions Requirements Degree in Chemistry or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Pandas, SciPy, or domain-specific libraries is also considered At least 2 years of professional experience in applied, research, or teaching roles Expertise in numerical methods relevant to chemistry Strong understanding of computational chemistry principles and techniques Exceptional written English skills at C1 level or higher How projects work The process involves several steps: Application, Qualification, Project Assignment, Task Completion, and Payment. Each project phase may differ in scope and requirements. Time commitment During active project phases, tasks typically require 10–20 hours per week. Actual workload may vary depending on project needs. Compensation Contributors can earn up to $35 per hour, depending on expertise and task completion speed. Compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different pay rates. Please submit your CV in English and indicate your level of English proficiency when applying.

Join Mindrift as a Freelance Python Data Scraping Engineer!We are seeking talented and experienced professionals to become a part of our innovative Tendem project, where you will lead specialized data scraping workflows within our hybrid AI and human collaboration system. In the role of AI Pilot—our unique title for this position—you will work alongside Tendem Agents who handle routine tasks, while you contribute your critical thinking skills, domain expertise, and quality assurance to ensure the delivery of precise and actionable insights.This part-time remote opportunity is perfect for individuals with proven experience 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 harness the power of Generative AI by leveraging real-world expertise from around the globe.Role OverviewAs a Freelance Python Data Scraping Engineer, you will manage data scraping assignments that demand technical accuracy for web extraction and processing. You will utilize various tools, including Apify and OpenRouter, as well as your own creative methods to accomplish tasks effectively.Key ResponsibilitiesOversee comprehensive data extraction workflows across complex web environments, guaranteeing thorough coverage, precision, and dependable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) alongside customized workflows to expedite data collection, validation, and task execution while adhering to established specifications.Ensure consistent extraction from dynamic and interactive web sources, adapting methodologies to accommodate JavaScript-rendered content and evolving site behaviors.Uphold data quality standards through validation checks, cross-source consistency controls, and adherence to formatting guidelines, conducting systematic verifications prior to delivery.Scale scraping operations for extensive datasets using efficient batching or parallelization techniques, monitor failures, and maintain stability against minor site structure changes.CompensationContributors can earn up to $32 per hour, based on their expertise and contribution pace. Compensation may vary across projects depending on their scope, complexity, and required skill sets.How to ApplyTo get started, simply apply to this post, qualify, and seize the opportunity to contribute to projects that align with your technical skills, on your own schedule. From coding and automation to enhancing AI outputs, you will play a vital role in advancing AI capabilities and practical applications.QualificationsMinimum of 3 years of relevant experience in data engineering, web scraping, automation, or related fields.Strong proficiency in Python and experience with web scraping frameworks.Ability to work independently and manage multiple tasks efficiently.Excellent problem-solving skills and attention to detail.

Please submit your CV in English and specify your English proficiency level.At Mindrift, we bridge the gap between talented specialists and exciting project-based AI opportunities with leading technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Note: Participation is project-based and not a permanent employment position.Role OverviewAs a freelance Data Science Engineer, you will tackle a variety of unique projects. Your responsibilities may include:Designing original computational data science challenges that replicate real-world analytical processes across various sectors such as telecommunications, finance, government, e-commerce, and healthcare.Formulating problems that necessitate Python programming for resolution, utilizing libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensuring tasks are computationally demanding, with solutions that cannot be feasibly achieved manually within a short timeframe (days/weeks).Creating problems that involve complex reasoning chains in data manipulation, statistical analysis, feature engineering, predictive modeling, and deriving insights.Developing deterministic problems with reproducible outcomes, minimizing stochastic elements or requiring fixed random seeds for exact results.Crafting scenarios based on actual business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and improving operational efficiency.Designing comprehensive problems that encompass the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Addressing big data processing challenges that necessitate scalable computational strategies.Validating solutions using Python and standard data science libraries along with statistical techniques.Clearly documenting problem statements in a business context and providing verified correct answers.Candidate ProfileThis role is ideal for Data Science professionals with extensive experience in Python, seeking part-time, non-permanent project work. The ideal candidates should possess:A minimum of 5 years of practical data science experience demonstrating measurable business impact.A portfolio showcasing completed projects and publications that highlight real-world problem-solving capabilities.Proficient Python programming skills for data science (including pandas, numpy, scipy, scikit-learn, and statsmodels).Expertise in statistical analysis and machine learning, with a deep understanding of algorithms, methods, and their practical applications.Command of SQL and database operations for effective data manipulation and analysis.Familiarity with GenAI technologies, including LLMs, RAG, prompt engineering, and vector databases.Insight into MLOps practices and model deployment workflows.Knowledge of modern frameworks, such as TensorFlow, PyTorch, and LangChain.Strong written English communication skills (C1+ level).Application ProcessApply → Complete qualifications → Join a project → Undertake tasks → Receive payment

We invite you to submit your CV in English and specify your level of English proficiency.At Mindrift, we connect talented professionals with exciting, project-based AI opportunities for prestigious technology companies. Our focus is on evaluating, testing, and enhancing AI systems. Please note that participation is project-based and does not constitute permanent employment.Overview of the Role:Each project presents unique challenges, and as a contributor, you will:Design innovative computational physics problems that replicate authentic physics research workflows.Develop problems necessitating Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy).Ensure the problems are computationally intense, requiring extensive time to solve (days or weeks).Create problems that involve complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics.Base problems on genuine research challenges or practical applications in physics.Verify solutions using Python and established physics simulation libraries.Clearly document problem statements and provide verified correct answers.Qualifications We Seek:This opportunity is ideal for physicists experienced in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines.Proficiency in Python for numerical validation. Equivalent experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is acceptable.A minimum of 2 years of professional experience, which may include applied, research, or teaching roles.Familiarity with numerical simulation techniques.The ability to craft problems that accurately reflect real physics research workflows.Creative problem-solving skills across various physics domains.Knowledge of physics modeling and approximation methods.Excellent written English skills (C1+ level).How the Process Works:Apply → Complete qualifications → Join a project → Perform tasks → Receive payment.Project Commitment:The estimated workload for this project is approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and not a guaranteed workload.Compensation Details:Contributors may earn up to $35 per hour, contingent upon their contribution level and pace. Compensation varies by project and is influenced by the scope, complexity, and required expertise.

Toloka AI seeks a civil engineer with strong Python programming skills to join as a freelance AI trainer. This contract position is fully remote and open to candidates based in Manitoba, Canada. Role overview This role combines civil engineering expertise with Python development to support projects focused on training artificial intelligence systems. The position involves collaborating with team members and contributing technical insights that influence project direction. What you will do Apply civil engineering knowledge and Python programming to AI training projects Work with team members to refine and improve AI models Offer technical insights that help shape project outcomes Location This is a remote role for candidates located in Manitoba, Canada.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift connects talented specialists with exciting, project-based AI opportunities at leading technology companies, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based engagement and does not constitute permanent employment.What This Role EntailsContributors will engage in diverse tasks that may include:Designing innovative computational statistics problems that replicate authentic mathematical research workflows;Developing problems that require Python programming to solve, utilizing libraries such as Numpy, SciPy, and Sympy;Creating computationally intensive problems that cannot be manually solved within a reasonable timeframe (days or weeks);Formulating problems that necessitate non-trivial reasoning across various mathematical domains, including number theory, combinatorics, graph theory, and numerical analysis;Grounding problems in real research challenges or practical scenarios from the field of mathematics;Validating solutions using Python and established mathematical libraries;Clearly documenting problem statements and providing verified correct answers.Desired QualificationsThis opportunity is ideal for statistics experts with Python experience seeking part-time, non-permanent project roles. The ideal candidates will possess:A degree in Statistics or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or any programming language can be considered equivalent;At least 2 years of professional experience in applied statistics, research, or teaching;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are a plus.Application ProcessTo apply, please submit your application, pass the necessary qualifications, join a project, complete the assigned tasks, and receive payment.Project Time CommitmentDuring active phases, tasks for this project are estimated to require approximately 10–20 hours per week, depending on project needs. This is an estimate and may vary based on the active project requirements.CompensationContributors can earn up to $38 per hour, contingent on their level of expertise and contribution pace. Compensation may differ across projects based on their scope, complexity, and required expertise. Please be aware that other projects on the platform may offer varying earning levels based on specific requirements.

This freelance, project-based role at Toloka AI (in partnership with Mindrift) focuses on developing and validating advanced mathematics problems for AI education. Work is remote from Manitoba, Canada, and all applications must include a resume in English along with your English proficiency level. Role overview Contributors design computational mathematics challenges that mirror real research workflows. Each project brings unique tasks, such as: Creating original mathematics problems that require significant computational effort (not solvable manually in a reasonable timeframe) Developing Python-based solutions using libraries like Numpy, SciPy, or Sympy Focusing on areas such as number theory, combinatorics, graph theory, and numerical analysis Basing problems on genuine research questions or real-world mathematical applications Validating solutions programmatically and documenting both problems and solutions clearly Requirements Degree in Mathematics (Pure or Applied) or a related field Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar is also accepted At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems based on authentic mathematical research Understanding of computational complexity theory Excellent written English (C1 level or higher) Project commitment Projects typically require an estimated 10–20 hours per week during active phases. Actual workload may vary depending on project needs and is not guaranteed. Compensation Contributors can earn up to $35 per hour, depending on the project’s complexity, scope, and your contribution. Rates may differ for other projects on the platform. Application process Apply with your resume and English proficiency Pass qualification steps Join a project Complete assigned tasks Receive payment This is a non-permanent, part-time opportunity for mathematicians with Python expertise interested in project-based AI education work.

Please submit your CV in English, specifying your English proficiency level.At Mindrift, we specialize in connecting talented professionals with exciting project-based AI opportunities across renowned tech companies, dedicated to the testing, evaluation, and enhancement of AI systems. Note that participation is on a project basis and does not constitute permanent employment.Project Involvement Includes:Designing innovative computational physics problems that emulate authentic research workflows;Creating problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring problems are computationally demanding and not solvable manually within practical timeframes (days/weeks);Developing problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Rooting problems in real research challenges or practical applications from the field of physics;Validating solutions using Python alongside standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Desired Qualifications:This role is ideal for quantum researchers proficient in Python, seeking part-time, non-permanent project opportunities. Preferred candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any specific programming language may be considered equivalent;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation methodologies;Adeptness in designing problems that reflect genuine physics research workflows;Creative problem design skills spanning various physics domains;Knowledge of physics modeling and approximation techniques;Strong command of written English (C1+ level).Application Process:Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive paymentProject Time Commitment:During active project phases, tasks are estimated to require approximately 10–20 hours per week, contingent on project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $35 per hour, varying with their contribution level and speed. Compensation may differ across projects depending on scope, complexity, and expertise required.

AIP Connect is excited to announce the launch of its freelance service, catering to talented individuals seeking new opportunities. If you're interested in joining our network of freelancers and exploring various projects, we invite you to submit your resume today!

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects experienced data scientists with contract-based AI projects for major tech companies. Work centers on testing, evaluating, and improving AI systems across a range of industries. This is a project-based contract, not a permanent role. Role overview The Freelance Data Scientist (Python & SQL) will design and validate complex computational problems that reflect real analytical workflows. Projects may involve sectors like telecom, finance, government, e-commerce, and healthcare. Assignments focus on creating and documenting original data science problems that mirror practical business challenges. What you will do Create computational data science problems based on real business scenarios. Develop tasks requiring advanced Python programming, using libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are computationally demanding and cannot be solved manually in a short time. Design scenarios involving complex reasoning: data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Write deterministic problems with reproducible results, using fixed random seeds as needed. Align problem statements with business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Address the full data science pipeline: ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Incorporate big data processing elements that require scalable solutions. Validate solutions using Python and standard statistical methods. Document problems clearly in realistic business contexts and provide verified solutions. Requirements At least 5 years of hands-on data science experience with proven business impact. Portfolio of completed projects or publications demonstrating real-world problem-solving. Advanced Python programming for data science (Pandas, Numpy, Scipy, Scikit-learn, Statsmodels). Strong knowledge of statistical analysis and machine learning, including algorithms and practical applications. Strong SQL skills for data manipulation and analysis. Experience with GenAI tools (LLMs, RAG, prompt engineering, vector databases). Familiarity with MLOps and model deployment workflows. Knowledge of frameworks such as TensorFlow, PyTorch, or LangChain. Exceptional written English (C1 level or higher). Application process Apply with an English CV and indicate your English proficiency. Complete qualification steps. Join a project when matched. Complete assigned tasks. Receive compensation for your contributions. Location: Remote , Manitoba, Canada Note: This is a part-time, project-based contract and does not constitute permanent employment.

Please submit your CV in English, specifying your English proficiency level.At Mindrift, we link talented specialists with project-based AI opportunities within renowned tech companies, concentrating on the assessment, testing, and enhancement of AI systems. This role is project-based rather than a permanent position.Opportunity Overview:Each project presents unique challenges, but contributors may be tasked with:Crafting original computational data science challenges that mimic real-world analytical workflows across various domains including telecom, finance, government, e-commerce, and healthcare.Implementing Python programming solutions for these challenges (utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn).Ensuring tasks are computationally demanding and not solvable manually within typical timeframes (days/weeks).Developing challenges that necessitate complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and deriving insights.Creating deterministic problems with consistent outputs: avoiding stochastic elements or mandating fixed random seeds for exact reproducibility.Grounding problems in authentic business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Designing comprehensive problems that cover the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Incorporating big data challenges that necessitate scalable computational strategies.Validating solutions through Python and standard data science libraries along with statistical techniques.Clearly documenting problem statements with realistic business contexts and providing verified correct answers.