Material Scientist with Python Expertise - Freelance AI Trainer

Application Instructions: Please submit your CV in English and indicate your level of English proficiency.Mindrift collaborates with specialists to connect them with project-based AI opportunities for leading technology companies, emphasizing the testing, evaluation, and enhancement of AI systems. This is a project-based role, not a permanent position.Opport…

Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we bridge the gap between specialists and project-based AI opportunities with leading tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and not a permanent employment opportunity.What You Will Do:While each project has its unique tasks, contributors may:Craft original computational physics problems that simulate authentic research workflows;Develop problems that necessitate Python programming solutions (utilizing libraries like Numpy, SciPy, and Sympy);Ensure that these problems are computationally intensive and cannot be solved manually in a reasonable timeframe (days to weeks);Design challenges requiring complex reasoning chains in fields such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base these problems on actual research challenges or practical applications in physics;Validate solutions using Python and standard physics simulation libraries;Clearly document problem statements along with verified correct answers.Who We Are Looking For:This opportunity is well-suited for quantum researchers with experience in Python, who are open to part-time, non-permanent projects. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also acceptable;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation methods;The ability to design problems that reflect genuine physics research workflows;Creative problem-solving skills across various physics areas;Familiarity with physics modeling and approximation techniques;Strong written English skills (C1+).How the Process Works:Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensated.Project Time Expectations:For this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $76 per hour, depending on their expertise and contribution pace. Please note that compensation may vary across projects based on their scope, complexity, and required expertise.

We invite you to submit your CV in English, along with your level of English proficiency.Mindrift specializes in connecting experts with project-based AI roles for top tech companies, emphasizing the testing, evaluation, and enhancement of AI systems. This is a project-based opportunity, not a permanent position.Opportunity OverviewEach project presents unique tasks, where contributors may:Design innovative computational physics problems that reflect genuine physics research processes;Formulate problems necessitating Python programming for solutions (utilizing Numpy, SciPy, Sympy);Ensure challenges are computationally demanding and cannot be manually resolved within reasonable timeframes (days/weeks);Develop problems that require complex reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base challenges on authentic research obstacles or practical applications in the field of physics;Validate solutions using Python alongside standard physics simulation libraries;Clearly document problem statements and provide verified correct solutions.Desired QualificationsThis position is ideal for quantum researchers proficient in Python, seeking part-time, non-permanent project opportunities. Candidates should possess:A degree in Physics (Theoretical, Experimental, or Computational) 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 is also acceptable;A minimum of 2 years of professional experience, which may include applied, research, or teaching roles;Experience with numerical simulation techniques;The ability to create problems that reflect actual physics research workflows;Innovative thinking in problem design across various physics disciplines;A strong understanding of physics modeling and approximation methods;Exceptional written English skills (C1+ level).Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive paymentProject CommitmentFor this role, tasks are estimated to require approximately 10–20 hours per week during active project phases, based on specific project needs. This is an estimation, not a guaranteed workload, applicable only while the project is active.CompensationContributors can earn up to $76 per hour, based on their contributions and level of expertise. Compensation may vary across different projects depending on scope, complexity, and required skills. Please note that other projects on the platform could offer different earning potentials based on their specific requirements.

We invite you to submit your CV in English and specify your level of English proficiency.Mindrift connects talented specialists with project-based AI opportunities for top technology firms, aiming to enhance the testing, evaluation, and advancement of AI systems. Please note that this is a project-based engagement, not a permanent role.Overview of the RoleWhile each project presents distinct challenges, contributors may:Devise original computational physics problems that emulate authentic physics research workflows;Develop problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensure that problems are computationally demanding and cannot be solved manually within practical timeframes (days/weeks);Create problems that require complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research challenges or practical applications within the field of physics;Validate solutions using Python alongside standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Qualifications We SeekThis position is ideally suited for quantum researchers proficient in Python, open to part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; equivalent skills in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language are acceptable;At least 2 years of professional experience in applied research or teaching;Experience with numerical simulation techniques;Capability to design problems that reflect real-world physics research workflows;Innovative thinking in problem design across various physics sectors;Familiarity with physics modeling and approximation strategies;Strong written communication skills in English (C1 level or higher).How the Process WorksApply → Meet qualifications → Join a project → Complete assigned tasks → Receive compensation.Project Time CommitmentTasks for this project are anticipated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $76 per hour, based on their level of expertise and contribution pace. Compensation may vary by project, reflecting its scope, complexity, and required skills. Note that other projects on the platform may offer different compensation rates based on their specific requirements.

We invite you to submit your CV in English and specify your English proficiency level.Mindrift specializes in linking experts with project-based AI opportunities in leading technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. This is a project-based role, not a permanent position.Opportunity OverviewWhile each project presents distinct tasks, contributors may be required to:Devise innovative computational physics problems that emulate authentic physics research workflows;Generate problems that necessitate Python programming for resolution (utilizing Numpy, SciPy, Sympy);Ensure that tasks are computationally intensive, making manual resolution impractical within reasonable timeframes (days/weeks);Create problems that involve complex reasoning chains within mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on actual research challenges or practical applications relevant to the field of physics;Validate solutions using Python with established physics simulation libraries;Clearly document problem statements and provide verified correct answers.Candidate ProfileThis role is ideal for quantum researchers proficient in Python who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; equivalent skills in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages will also be considered;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation techniques;The ability to create problems that reflect genuine physics research workflows;Creative thinking in problem design across diverse areas of physics;Familiarity with physics modeling and approximation methodologies;Exceptional written English skills (C1+ level).Project Engagement ProcessApply → Complete qualifications → Join a project → Fulfill tasks → Receive payment.Project Commitment ExpectationsDuring active phases, tasks are estimated to require approximately 10-20 hours per week, subject to project specifications. This is an estimated workload and not a guaranteed commitment.CompensationContributors on this project can earn up to $76 per hour, depending on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills; note that other projects may offer different earning potential based on their unique needs.

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.

We invite you to submit your CV in English, highlighting your proficiency level in the language.Mindrift serves as a bridge connecting talented professionals with project-based AI opportunities at leading technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that this role is project-based and not a permanent position.Opportunity OverviewEach project presents unique challenges, and contributors may engage in the following tasks:Designing innovative material engineering problems that replicate authentic engineering workflows;Formulating problems necessitating Python programming for engineering calculations and simulations;Creating computationally intensive problems that demand numerical methods or iterative solutions;Developing problems related to system design, optimization, and analysis;Grounding problems in genuine research challenges or practical engineering applications;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct solutions.Qualifications We SeekThis role is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language is also acceptable;At least 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong command of written English (C1 level or higher).Project Engagement ProcessTo get started: Apply → Pass qualification(s) → Join a project → Complete assigned tasks → Receive payment.Project Time CommitmentTasks for this project are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $76 per hour, varying based on experience and contribution pace. Note that compensation may differ across projects based on their specific requirements.

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.

We invite you to submit your CV in English, along with your level of English proficiency.At Mindrift, we connect talented specialists with dynamic, project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based role, not a permanent position.Role Overview:Each project will present unique challenges, but typical responsibilities may include:Crafting original computational physics problems that replicate authentic physics research workflows;Developing problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring the problems are computationally demanding and cannot be manually resolved within a reasonable timeframe (spanning days or weeks);Creating problems that require sophisticated reasoning in areas of mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating problems based on genuine research obstacles or practical applications from the field of physics;Validating solutions through Python using standard physics simulation libraries;Clearly documenting problem statements and providing confirmed correct answers.Desired Qualifications:This opportunity is ideal for physicists with Python experience seeking part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages considered equivalent;At least 2 years of relevant professional experience, including applied research or educational roles;Expertise in numerical simulation methodologies;Capability to design problems that reflect authentic physics research workflows;Innovative thinking in problem creation across various physics domains;Familiarity with physics modeling and approximation strategies;Exceptional written English skills (C1 or higher).Application Process:To apply, please submit your application, pass the necessary qualifications, join a project, complete assigned tasks, and receive compensation.Project Time Commitment:The anticipated workload for this project is approximately 10–20 hours weekly during active phases, contingent upon project requirements. Please note that this is an estimate and not a guaranteed workload.Compensation:Contributors have the potential to earn up to $76 per hour, based on their expertise and contribution pace. Compensation may vary by project, depending on scope, complexity, and required skills. Please be aware that other projects on the platform may have different compensation structures based on their specific needs.

We invite you to submit your CV in English, including your level of English proficiency.Mindrift links talented specialists with project-based opportunities in AI for top tech companies, focusing on the testing, evaluation, and enhancement of AI systems. This role is project-based and does not entail permanent employment.Overview of the Role:Each project presents unique challenges, and contributors may:Devise original computational physics problems that reflect real physics research workflows;Develop problems that necessitate Python programming solutions (utilizing Numpy, SciPy, Sympy);Create computationally intensive problems that cannot be solved manually in a reasonable timeframe (days/weeks);Formulate problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on authentic research challenges or practical physics applications;Validate solutions using Python along with standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Qualifications:This opportunity is ideal for physicists experienced in Python, who are open to part-time, non-permanent projects. The ideal contributor will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language is equally valuable;A minimum of 2 years of professional experience, applicable in applied research or teaching;Experience with numerical simulation methods;The ability to design problems that accurately reflect real physics research workflows;Creative problem-solving skills across various physics disciplines;Knowledge of physics modeling and approximation techniques;Strong proficiency in written English (C1+).Process Overview:Application → Qualification(s) → Project Involvement → Task Completion → PaymentProject Commitment:During active project phases, tasks are expected to require approximately 10–20 hours per week based on project needs. This is an estimate and does not guarantee a fixed workload.Compensation:Contributors can earn up to $76 per hour, depending on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Please note that different projects on the platform may offer varying compensation levels.

Interested candidates should submit their CV in English, detailing their level of English proficiency.Mindrift bridges the gap between specialists and project-based AI opportunities for top-tier tech firms, emphasizing the testing, evaluation, and enhancement of AI systems. Note that participation is project-based and does not equate to permanent employment.Key Responsibilities:Design innovative material engineering challenges that replicate real engineering processes.Develop problems that necessitate Python programming for engineering calculations and simulations.Ensure that challenges are computationally demanding, utilizing numerical methods or iterative solutions.Create problems that involve system design, optimization, and analysis.Base challenges on genuine research issues or practical engineering applications.Validate solutions using Python and standard engineering libraries.Clearly document problem statements and provide verified solutions.Ideal Candidate Profile:This opportunity is well-suited for material scientists and engineers with Python expertise who are open to part-time, non-permanent engagements. Preferred qualifications include:A degree in Material Science or a related field.Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also acceptable.A minimum of 2 years of professional experience in applied research, teaching, or industry.A solid understanding of practical engineering constraints and approximations.Exceptional written English skills (C1 or higher).Application Process:Interested applicants should apply, pass the necessary qualifications, join a project, complete assigned tasks, and receive compensation accordingly.Project Time Commitment:During active phases, tasks are anticipated to require approximately 10-20 hours per week, contingent on project demands. This estimate is not a guaranteed workload and applies only while the project is active.Compensation:Contributors can earn up to $76 per hour, depending on their contribution level and pace. Compensation varies by project scope, complexity, and required expertise, with different projects offering distinct earning potentials.

We kindly request that applicants submit their CV in English and indicate their English proficiency level.Mindrift connects talented specialists with project-based AI opportunities at leading technology companies, focusing 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 RoleEach project will present unique challenges, and contributors may be tasked with:Creating original materials that simulate authentic engineering problems;Designing challenges that involve Python programming for engineering calculations and simulations;Ensuring that problems are computationally intensive and utilize numerical methods or iterative solutions;Developing scenarios involving system design, optimization, and analysis;Formulating problems based on real-world engineering challenges or practical applications;Verifying solutions utilizing Python alongside standard engineering libraries;Clearly documenting problem statements and providing accurate solutions.What We Are SeekingThis opportunity is ideal for material scientists and engineers with Python experience who are interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Material Science or a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries seen as equivalent;At least 2 years of professional experience, whether applied, research, or teaching;A solid understanding of practical engineering constraints and approximations;Strong command of written English (C1+ level).How the Process WorksInterested candidates will apply, pass the required qualifications, join a project, complete assigned tasks, and receive payment.Project CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week based on project needs. This is an estimate and does not guarantee a specific workload.CompensationContributors can earn up to $76 per hour, depending on their input and contribution pace. Compensation varies across projects based on scope, complexity, and expertise required. Please note that earnings may differ for other projects on this platform.

We invite you to submit your CV in English, highlighting your level of English proficiency.Mindrift seamlessly connects experts with dynamic, project-based AI opportunities at leading tech firms that focus on testing, evaluating, and enhancing AI systems. This is a project-based role and not a permanent position.Key ResponsibilitiesIn this role, you will engage in various unique tasks, which may include:Creating innovative computational physics problems that emulate authentic physics research processes;Formulating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring that the problems are computationally intensive and require significant time (days/weeks) for resolution;Developing challenges that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or practical physics applications;Validating solutions using Python alongside standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.QualificationsThe ideal candidate for this role will be a physicist with substantial Python experience, open to part-time, non-permanent engagements. We are looking for individuals who possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries can also be considered;A minimum of 2 years of relevant professional experience, whether in applied research or teaching;Experience in numerical simulation techniques;The capability to design problems that reflect genuine physics research workflows;Creative problem-solving skills across various physics domains;Knowledge of physics modeling and approximation strategies;Strong written English skills (C1 level or higher).How to EngageApplication Process: Apply → Pass qualifying assessments → Join a project → Fulfill tasks → Receive compensation.Project ExpectationsDuring active phases, tasks are estimated to require approximately 10–20 hours per week, depending on project needs. This estimate is not a guaranteed workload and applies solely while the project is active.CompensationContributors can earn up to $76 per hour, contingent upon their contribution level and pace. Compensation may vary across projects based on scope, complexity, and required expertise. Please be aware that other projects on the platform may present varying earning levels 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 along with your English proficiency level.Mindrift is a dynamic platform that bridges specialized talent with project-specific AI opportunities for prestigious tech companies, concentrating on the assessment, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.What this role offersEach project features distinct tasks; contributors may be required to:Craft innovative material engineering challenges that replicate real-world engineering processes;Develop problems that necessitate Python coding for solving engineering calculations and simulations;Ensure that problems are computationally demanding and utilize numerical methods or iterative approaches;Create issues that involve system design, optimization, and analytical assessment;Base challenges on genuine research dilemmas or practical applications from the field of engineering;Verify solutions using Python alongside standard engineering libraries;Clearly document problem statements and supply verified correct answers.What we seekThis opportunity is ideal for material scientists and engineers with Python experience who are open to part-time, project-based work. Preferred 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, domain-specific libraries, Stata, or knowledge of any programming language may be considered equivalent;A minimum of 2 years of professional experience, whether in applied projects, research, or teaching;An understanding of practical engineering limitations and approximations;Exceptional written English skills (C1+).How it operatesApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject time commitmentFor this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, based on project needs. This is an estimate and not a guaranteed workload, applicable only while the project is active.CompensationContributors can earn up to $76 per hour, depending on their contribution level and efficiency. Compensation may vary across different projects based on the scope, complexity, and expertise required.

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, including your proficiency level in the English language.Mindrift specializes in connecting experts with project-based AI opportunities in collaboration with top-tier technology companies, focusing on the evaluation, testing, and enhancement of AI systems. This is a project-based role and does not constitute permanent employment.Opportunity OverviewWhile each project involves specific tasks, contributors may:Craft original computational physics problems that reflect authentic physics research workflows;Develop challenges that necessitate Python programming for resolution, utilizing libraries such as Numpy, SciPy, and Sympy;Ensure that problems are computationally demanding, requiring extended resolution times (days/weeks) rather than manual solutions;Create problems that demand intricate reasoning chains in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on real-world research difficulties or practical physics applications;Validate solutions with Python, employing standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.QualificationsThis opportunity is ideal for physicists with Python expertise who are interested in part-time, non-permanent projects. We seek contributors who 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, domain-specific libraries, Stata, or other programming languages will be considered equivalent;A minimum of 2 years of professional experience, encompassing applied, research, or teaching roles;Experience with numerical simulation techniques;The capability to design problems that replicate real physics research workflows;Innovative thinking in problem design across various physics domains;Knowledge of physics modeling and approximation methodologies;Exceptional written English skills (C1+ proficiency).Process OverviewApplication → Qualification Assessment → Project Participation → Task Completion → PaymentTime CommitmentProject tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.CompensationContributors have the potential to earn up to $76 per hour, contingent on their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Note that other projects on the platform may offer different compensation rates based on their specific requirements.

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