Material Science Specialist with Python - Freelance AI Educator

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

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

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

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

Please submit your CV in English and 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.

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.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI assignments for leading technology companies. Projects focus on evaluating, testing, and improving AI systems. These roles are project-based and do not represent permanent employment. Role overview This freelance position calls for a Quantum Research Scientist & AI Trainer with strong Python skills. Projects involve tackling real-world research problems in physics, blending computational and theoretical challenges. Each assignment introduces new scenarios that require both deep physics knowledge and advanced programming abilities. What you will do Create original computational physics problems that reflect authentic research workflows Design problems requiring Python solutions, making use of libraries like Numpy, SciPy, and Sympy Ensure problems are computationally demanding, so manual solutions are impractical Develop scenarios involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base questions on real research challenges or practical applications in physics Validate solutions using Python and established physics simulation libraries Document problem statements clearly and provide verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field Expertise in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus Minimum 2 years of experience in professional, research, or teaching settings Hands-on experience with numerical simulation techniques Ability to design problems that reflect genuine research processes in physics Creative problem-solving skills across multiple physics domains Strong understanding of physics modeling and approximation strategies Written English proficiency at C1 level or above How to participate Apply Complete qualification steps Join a project Finish assigned tasks Receive payment Time commitment Project work typically requires 10–20 hours per week during active phases. Actual hours can vary based on project needs and are only expected while a project is ongoing. Compensation Contributors may earn up to $76 per hour, depending on expertise and productivity. Pay rates can differ between projects based on complexity, scope, and required skills.

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 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

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. All engagements are temporary and do not establish a permanent employment relationship. Role overview This freelance, remote position is available to candidates based in New York, United States. Each project introduces a new set of challenges related to computational physics and quantum research. Contributors may work on tasks such as: Designing original computational physics problems that reflect real research workflows Creating problems requiring Python programming solutions, often with Numpy, SciPy, or Sympy Ensuring problems are computationally intensive and not solvable manually in a short time Developing scenarios involving mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing problems on genuine research challenges or practical physics applications Validating solutions in Python using standard physics simulation libraries Documenting problem statements clearly and providing verified correct answers Requirements 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 domain-specific libraries is valued At least 2 years of professional experience in applied, research, or teaching settings Background in numerical simulation methods Experience designing problems that mirror real research workflows Creative approach to problem design across multiple physics domains Understanding of modeling and approximation techniques in physics Strong written English at C1 level or higher Application process Apply Pass qualifications Join a project Complete tasks Receive compensation Time commitment During active project phases, tasks typically require 10–20 hours per week. Actual workload varies according to project needs, and hours are not guaranteed outside of active assignments. Compensation Contributors can earn up to $76 per hour, depending on expertise and pace. Rates differ by project based on scope, complexity, and required skills. Other projects on the platform may offer different pay levels depending on their requirements.

Mindrift connects chemistry experts with project-based AI work for leading tech companies. Projects focus on testing, evaluating, and improving AI systems. All roles are freelance and do not represent permanent employment. What you will do Create original computational chemistry problems that reflect real-world research workflows. Develop problems requiring Python programming solutions, using libraries such as numpy, scipy, and chemistry-specific packages. Ensure problems are computationally complex and not solvable manually within days or weeks. Design tasks that involve advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling. Base problems on actual research challenges or practical chemistry applications. Validate solutions in Python using established computational chemistry methods. Write clear problem statements and provide verified solutions. Requirements Degree in Chemistry or a related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also considered. At least 2 years of relevant experience in applied work, research, or teaching. Experience with numerical methods in chemistry. Understanding of computational chemistry concepts and techniques. Strong written English skills at C1 level or higher. How it works Submit an application and CV in English, including your English proficiency level. The process follows these steps: Apply Pass qualifications Join a project Complete assigned tasks Receive payment Project details During active project phases, tasks typically require 10-20 hours per week. Actual workload depends on project needs and may vary. Compensation Rates can reach up to $76 per hour, depending on expertise and contribution. Compensation varies by project scope, complexity, and the specialized knowledge required. Different projects may offer different rates based on their requirements.

Please submit your CV 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. Participation is freelance and does not represent permanent employment. Role overview This freelance role is designed for quantum research scientists with strong Python skills. Contributors help train and refine AI models for computational physics and related fields. All work is remote and project-based, open to candidates located in Wisconsin, United States. What you will do Design original computational physics problems that reflect real research workflows Create problems that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy Ensure problems are computationally intensive, taking days or weeks to solve manually Develop challenges involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problems on actual research obstacles or practical applications in physics Validate solutions using Python and standard physics simulation libraries Document problem statements clearly and provide verified, correct answers Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or other programming languages is also valued At least 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 problem-solving skills across physics domains Familiarity with modeling and approximation techniques in physics Strong written English skills (C1 level or higher) Project commitment Expect to dedicate about 10–20 hours per week during active project periods. Actual workload may vary depending on project needs. Compensation Contributors can earn up to $76 per hour, depending on contribution level and pace. Rates vary by project based on scope, complexity, and required expertise. Other projects on the platform may offer different compensation structures. Application process Apply Pass qualifications Join a project Complete tasks Receive compensation

Please submit your CV in English and indicate your English proficiency level. Mindrift matches professionals with project-based AI work for top technology companies. Projects focus on evaluating, testing, and refining AI systems. All roles are contract-based and do not constitute permanent employment. Role overview This freelance position is for AI trainers with a background in research physics and Python programming. Assignments vary, but the work centers on designing and validating computational physics problems that mirror real research scenarios. Create computational physics challenges inspired by actual research workflows Develop tasks requiring Python solutions, often using libraries such as Numpy, SciPy, or Sympy Ensure problems are complex enough to require computation, not manual calculation Cover topics like mechanics, electromagnetism, thermodynamics, or quantum mechanics Base scenarios on genuine research questions or practical physics applications Validate solutions using Python and established simulation tools Clearly document each problem and provide verified solutions Requirements Degree in physics (theoretical, experimental, or computational) or a related discipline Proficient in Python for numerical work; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus Minimum 2 years of experience in applied research or teaching Background in numerical simulation methods Ability to design problems that reflect authentic research processes Creative approach to developing challenges across various physics domains Strong grasp of modeling and approximation techniques in physics Excellent written English (C1 level or higher) Project workflow Application Qualification process Project participation Task completion Compensation Time commitment During active projects, tasks typically require 10–20 hours per week. Actual workload may vary based on project needs. Compensation Contributors may earn up to $76 per hour, depending on skills, speed, and project requirements. Rates can vary according to project scope and complexity. Location This is a remote contract role open to candidates based in Wisconsin, United States.

Please submit your CV in English and specify your English proficiency level. Toloka AI, through Mindrift, connects specialists with project-based work focused on testing, evaluating, and improving AI systems for technology companies. This freelance role is not a permanent position and offers flexibility for those interested in contributing to AI development remotely from Virginia, United States. Role overview This freelance research physicist position centers on creating and validating computational physics problems for AI training. Projects involve designing challenges that require Python programming and reflect authentic research workflows. The work is project-based, with hours varying according to project needs. What you will do Create original computational physics problems modeled on real research scenarios. Design problem sets that require Python solutions, using libraries such as Numpy, SciPy, and Sympy. Develop computationally intensive problems that would be impractical to solve manually. Build scenarios involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Draw from real research or practical applications in physics. Validate solutions in Python using established simulation libraries. Document each problem clearly, providing verified solutions. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field. Strong Python skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is also acceptable. Minimum of 2 years of professional experience in research, applied work, or teaching. Comfort with numerical simulation techniques and modeling in physics. Ability to design problems that reflect real-world research challenges. Creative problem-solving across multiple physics domains. Excellent written English (C1 level or higher). How to apply The application process includes the following steps: Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Project details During active phases, expect to spend approximately 10–20 hours per week, depending on project requirements. This estimate may change with project scope and workload. Compensation Contributors can earn up to $76 per hour equivalent. Actual rates depend on the nature and complexity of the work. Compensation may vary between projects based on requirements.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects subject matter experts with project-based AI work for major technology companies. Projects center on assessing, evaluating, and improving AI systems. This is a project-based, non-permanent role. Role overview This freelance contract focuses on designing and verifying computational physics problems for AI training. The work is remote and open to candidates based in Wisconsin, United States. What you will do Create original computational physics problems that reflect real research workflows. Develop challenges that require Python programming to solve, often using libraries such as Numpy, SciPy, and Sympy. Ensure each problem requires significant computation and cannot be solved by hand within a reasonable time. Design scenarios involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base challenges on authentic research questions or practical situations in physics. Verify solutions using Python and standard physics simulation tools. Document problems clearly and provide thoroughly checked solutions. Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related field. Strong Python skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus. At least 2 years of relevant experience in research, application, or teaching. Background in numerical simulation methods. Ability to design problems reflecting real research workflows in physics. Creative thinking across multiple areas of physics. Solid understanding of modeling and approximation techniques in physics. Excellent written English (C1 level or higher). How the process works Apply Complete required qualifications Join a project Finish assigned tasks Receive payment Project time commitment Active projects typically require about 10–20 hours per week. Actual workload depends on project needs and may vary. Compensation Contributors may earn up to $76 per hour, depending on expertise and pace. Actual rates and workload vary based on project scope, complexity, and required skills.

Please submit your CV in English and indicate your English proficiency level. toloka-ai partners with Mindrift to offer freelance, project-based work focused on advancing AI systems for major technology companies. This contract role centers on testing, evaluating, and improving AI models. Engagement is on a per-project basis and does not constitute permanent employment. Role overview This position calls for an optical engineer with strong Python skills to create and validate computational physics problems. The work involves designing programming challenges that reflect real research scenarios, particularly in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Each problem should require significant computational effort, often taking days or weeks to solve by hand. Solutions are verified using Python and standard physics simulation libraries. Key responsibilities Design original computational physics problems based on real-world research workflows. Create programming challenges using Python, with libraries such as Numpy, SciPy, or Sympy. Ensure problems are computationally intensive and require advanced reasoning. Develop scenarios across multiple physics domains, drawing from authentic research or practical applications. Validate solutions in Python using standard simulation tools. Document clear problem statements and provide verified solutions. Requirements Background in optical engineering with experience in Python programming. 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, or domain-specific libraries is a plus. Minimum of 2 years' professional experience in applied research, teaching, or related fields. Experience with numerical simulation methods and physics modeling techniques. Ability to design problems that reflect real research workflows in physics. Creative problem-solving skills across various physics areas. Strong written English skills at C1 level or higher. Application process Candidates will need to pass required qualifications, join a project, complete assigned tasks, and will be compensated upon completion. Time commitment During active project phases, expect to commit approximately 10–20 hours per week. Workload may vary depending on project needs. Compensation Earn up to $76 per hour, based on expertise and contribution speed. Actual compensation depends on project scope, complexity, and required skills. Other projects on the platform may offer different earning rates. Location: Remote , New York, United States

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

Join Our Team as a Freelance Electrical Engineer with Python Skills!At Mindrift, we bridge the gap between talented professionals and exciting project-based AI opportunities with top-tier tech companies. Our focus is on evaluating, testing, and enhancing AI systems, providing you the chance to work on dynamic projects that make a difference.What You'll Be Doing:Craft challenging electrical engineering problems that reflect real-world applications.Assess AI solutions for accuracy, underlying assumptions, and constraints.Validate simulations and calculations utilizing Python libraries such as NumPy, Pandas, and SciPy.Enhance AI reasoning capabilities to meet industry-standard logic.Implement structured scoring criteria for complex multi-step problems.Who We're Looking For:This role is perfect for electrical engineers with Python experience seeking part-time, non-permanent projects. Ideal candidates will possess:A degree in Electrical Engineering or related disciplines, such as Electronics, Microelectronics, Embedded Systems, or Power Systems.A minimum of 3 years of professional experience in electrical engineering.Proficiency in written English (C1/C2 level) and strong Python skills for numerical validation.A reliable internet connection.Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience with international or applied projects are advantageous.How to Get Started:Apply, pass our qualifications, join a project, complete tasks, and receive payment!Project Commitment:Expect to dedicate about 10–20 hours per week during active project phases—this is an estimate based on project requirements.Compensation:Competitive pay with rates up to $55/hour*.Compensation may be based on either fixed project rates or individual rates.Some projects may include incentive payments.*Note: Rates can vary based on expertise, skills assessment, location, and project needs. Higher rates may be available for specialized experts. Lower rates may apply during onboarding or non-core phases.

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