Material Scientist with Python Skills - Freelance AI Trainer

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

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.

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

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.

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

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

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.

Mindrift offers project-based roles for professionals interested in advancing AI systems within the field of chemistry. This freelance opportunity is remote and open to candidates based in Wisconsin, United States. The position is not permanent and is suitable for those seeking flexible, part-time project work. Role overview Contributors will design and document original computational chemistry problems that reflect real-world research workflows. Tasks include: Creating problems that require Python programming to solve, using libraries such as numpy, scipy, and specialized chemical libraries Ensuring problems are computationally intensive and not solvable manually within a short timeframe Developing scenarios that demand advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling Basing problems on authentic research challenges or practical applications in chemistry Verifying solutions in Python using standard computational chemistry methods Clearly documenting each problem statement and providing accurate, verified answers Requirements Degree in Chemistry or a related discipline Proficiency in Python for numerical validation (skills in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar languages are also considered) At least 2 years of experience in applied research or teaching Background in numerical methods for chemistry Familiarity with computational chemistry concepts and methodologies Strong written English skills (C1 level or higher) Project structure The process includes applying, passing qualifications, joining a project, completing assigned tasks, and receiving compensation. Project commitment is estimated at 10–20 hours per week during active periods, though actual workload may vary depending on project needs. Compensation Contributors may earn up to $76 per hour, based on expertise and pace. Compensation varies by project, reflecting the scope, complexity, and required skills. Other projects may have different pay rates depending on their specific requirements. Please submit your CV in English and indicate your English proficiency level.

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

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.

Submit your CV in English and include your English proficiency level in the application. This freelance, project-based role with Mindrift connects electrical engineers and Python specialists to AI training projects for leading technology companies. Assignments focus on evaluating, testing, and improving AI systems through the creation and validation of challenging engineering problems. Role overview Freelance Electrical Engineers & Python Specialists work on projects that require designing computational problems reflecting real-world engineering workflows. Tasks often include: Developing engineering problems that simulate practical scenarios Creating problems that involve Python programming for calculations and simulations Ensuring problems use numerical methods or iterative solutions and are computationally demanding Designing scenarios related to system design, optimization, or analysis Basing tasks on actual research challenges or applied engineering cases Validating solutions in Python using standard engineering libraries Documenting clear problem statements and verified solutions Requirements Degree in Electrical Engineering or a closely related field Strong Python skills for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued Minimum of 2 years of experience in applied engineering, research, or teaching Understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) Professional certifications (such as CMME, SAS Certifications, CAP) and international or applied project experience are a plus Project commitment During active project periods, the expected commitment is approximately 10–20 hours per week. Actual hours may shift based on project needs. Compensation Contributors can earn up to $69 per hour, depending on expertise and project pace. Compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different rates. Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Location: Remote , New York, United States

Please submit your CV in English, including your proficiency level. Mindrift offers project-based opportunities for professionals to contribute to AI system development. The company works with major technology partners to test, evaluate, and improve AI models. This is not a permanent role, but rather project-driven freelance work. Role overview The Freelance Mechanical Engineer & Python Specialist role centers on developing and validating computational engineering problems for AI training. Each project presents unique challenges and may include tasks such as: Designing engineering problems that mirror real-world workflows Creating scenarios requiring Python programming for calculations and simulations Incorporating computationally intensive elements, including numerical methods and iterative solutions Focusing on system design, optimization, and analysis challenges Basing problems on actual research questions or practical engineering situations Verifying solutions using Python and standard engineering libraries Documenting problem statements clearly and supplying accurate, checked solutions Requirements Degree in Mechanical Engineering or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued At least 2 years of experience in applied engineering, research, or education Understanding of practical engineering constraints and approximations Strong written English skills at C1 level or higher Certifications such as CMME, SAS Certifications, or CAP, and experience with international or applied projects are considered a plus Application process Submit your application Complete qualification assessments Join a project Work on assigned tasks Receive payment Workload and commitment Active project periods typically require 10–20 hours per week. Actual hours depend on project demands and are not guaranteed outside of active assignments. Compensation Rates can reach up to $69 per hour, depending on contribution and pace. Compensation varies by project scope, complexity, and expertise required. Other projects may offer different rates. Location This is a remote role based in Virginia, United States.

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.

Toloka AI is seeking a freelance consultant with a strong background in biology and Python to help train AI models. This remote role is based in Pennsylvania and focuses on improving how AI systems interpret and process biological data. Role overview This position centers on using biology and Python expertise to support the development and training of AI models. The work involves guiding AI systems to better understand complex biological information. Work environment The role is fully remote, offering flexibility in where and how work is completed. Collaboration with other team members is an important part of the job. Location Remote , Pennsylvania, United States

Captivation Software works with clients facing demanding timelines, delivering customized solutions that support significant national objectives. The team values new ideas and aims for results that make a real impact. Role overview The Data Scientist II will be part of the Model Management group based in Annapolis Junction, MD. This mid-level role centers on developing and maintaining data models that support essential projects. The position involves close collaboration with others to ensure models are effective and meet project needs. Key technologies Python R TensorFlow SQL Tableau Location Annapolis Junction, MD

Mindrift connects mathematics and Python specialists with project-based AI consulting work for leading technology companies. Assignments focus on evaluating, testing, and improving AI systems. All roles are freelance and do not offer permanent employment. Role overview Projects vary in scope and challenge. As a Mathematics & Python Specialist, tasks may include: Designing original computational mathematics problems that mirror real research workflows Creating problems that require Python programming for their solution, using libraries such as Numpy, SciPy, or Sympy Developing computationally intensive problems that are impractical to solve by hand Building problems involving advanced reasoning in number theory, combinatorics, graph theory, or numerical analysis Basing problems on actual research challenges or practical mathematical scenarios Validating solutions with Python and standard mathematical libraries Documenting problem statements and supplying accurate 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, or SciPy is also considered At least 2 years of professional experience in applied mathematics, research, or teaching Familiarity with numerical methods and symbolic computation Ability to design problems that reflect authentic mathematical research processes Knowledge of computational complexity theory Strong written English skills at C1 level or higher Project engagement Workload during active projects is typically estimated at 10–20 hours per week, depending on project needs. Actual hours may vary. Compensation Contributors may earn up to $76 per hour, with rates depending on expertise and the pace of contributions. Compensation structures differ by project complexity and requirements. Application process To apply, submit a CV in English and specify your English proficiency level. The process includes qualification steps, joining a project, completing assigned tasks, and receiving payment upon completion.

Please submit your CV in English and specify your English proficiency level. Mindrift connects specialists with project-based AI work from leading tech companies. The focus is on testing, evaluating, and improving AI systems. All participation is project-based and does not lead to permanent employment. Role overview This freelance, remote position combines quantum research with Python training. Projects vary in scope and may involve several aspects of computational physics and programming. Tasks include: Designing computational physics problems based on real research processes Developing problems that require Python programming to solve, using libraries such as Numpy, SciPy, or Sympy Ensuring problems are computationally intensive and not solvable by hand within a reasonable timeframe Creating scenarios in mechanics, electromagnetism, thermodynamics, and quantum mechanics that require complex reasoning Basing problems on real research challenges or practical physics applications Validating solutions using Python and standard physics simulation libraries Documenting problem statements clearly and providing verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain libraries is a plus Minimum of 2 years of professional experience in applied, research, or teaching roles Experience with numerical simulation techniques Ability to design problems that reflect authentic physics research workflows Creative problem-solving skills across physics domains Understanding of physics modeling and approximation techniques Strong English writing skills at C1 level or above How projects work The workflow is simple: Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment Tasks typically require 10–20 hours per week during active project phases. The actual workload depends on project needs and is not guaranteed outside these periods. Compensation Contributors may earn up to $76 per hour, depending on contribution level and pace. Pay varies by project based on scope, complexity, and expertise required. Other projects on the platform may offer different rates based on their specific requirements. Location: Remote , Iowa, United States

Please submit your CV in English and include your English proficiency level. toloka-ai, through Mindrift, offers freelance, project-based assignments for quantum research scientists with strong Python skills. These projects focus on testing, evaluating, and improving AI systems for leading technology companies. Roles are contract-based and not permanent employment. Project Scope Design computational physics problems that reflect real research workflows. Create problems requiring Python programming, using libraries like Numpy, SciPy, and Sympy. Ensure problems are complex and computationally intensive, taking days or weeks to solve manually. Develop challenges involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base problem scenarios on real research or practical physics applications. Validate solutions with Python and standard physics simulation libraries. Clearly document each problem statement and provide verified answers. Requirements Background in quantum research and strong Python programming skills. 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 similar tools is also valued. Minimum of 2 years of professional experience in applied research or teaching. Experience with numerical simulation methods. Ability to design problems that mirror real research workflows in physics. Creative approach to developing problems across multiple areas of physics. Understanding of modeling and approximation techniques in physics. Strong written English skills at C1 level or higher. Application Process Submit your application. Complete the required qualifications. Join a project. Finish assigned tasks. Receive payment. Time Commitment During active project periods, expect to spend approximately 10–20 hours per week. Actual workload may vary depending on project needs and is not guaranteed. Compensation Earnings can reach up to $76 per hour, depending on experience, project complexity, and pace. Compensation varies by project and is determined by the scope and required expertise. Location This is a remote contract role. Candidates based in San Antonio, Texas, United States are encouraged to apply.