Freelance Quantum Research Scientist & AI Trainer with Python Expertise

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 level of English proficiency. toloka-ai, working through Mindrift, offers project-based freelance work for research physicists with Python skills. This role centers on testing, evaluating, and improving AI systems by creating and validating computational physics problems. Projects are temporary and do not constitute permanent employment. Key Responsibilities Develop original computational physics problems that reflect authentic research workflows. Create assignments requiring Python programming, often using libraries such as Numpy, SciPy, or Sympy. Design problems complex enough to require computational solutions rather than manual calculation. Build scenarios involving advanced reasoning in fields like mechanics, electromagnetism, thermodynamics, and quantum mechanics. Draw on real research issues or practical applications in physics for problem design. Validate solutions using Python and standard physics simulation tools. Document each problem statement clearly and provide 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 valued. Minimum of 2 years of relevant experience in applied research or teaching. Background in numerical simulation techniques. Ability to design problems that mirror real-world research workflows. Creative problem-solving across multiple physics disciplines. Familiarity with physics modeling and approximation methods. Excellent written English at C1 level or above. Application Process Submit an application for the role. Complete the required qualifications. Join a project if selected. Work on assigned tasks. Receive compensation for completed work. Time Commitment During active project periods, tasks generally require 10–20 hours per week. Actual workload may vary with project demand and is not guaranteed outside active phases. Compensation Contributors can earn up to $76 per hour, depending on experience and pace. Compensation varies by project based on scope, complexity, and required expertise. Location This is a remote, project-based position. Candidates based in San Antonio, Texas, United States are encouraged to apply.

Please submit your CV in English and specify your English proficiency level. This freelance, project-based contract with toloka-ai (via Mindrift) offers physicists the chance to shape and evaluate AI systems for leading technology companies. The work centers on testing, improving, and designing computational challenges that reflect real research in physics. This is not a permanent employment offer. Key Responsibilities Design computational physics problems that align with real research workflows. Create programming challenges requiring Python solutions, often using Numpy, SciPy, or Sympy. Develop problems that are computationally intensive and cannot be solved manually within a reasonable time. Craft advanced scenarios in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base scenarios on genuine research issues or practical physics applications. Validate solutions using Python and standard simulation tools. Document each problem clearly and provide verified 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, or SciPy is a plus. At least 2 years of applied research or teaching experience. Background in numerical simulation methods. Ability to design problems that mirror authentic research workflows in physics. Creative problem-solving skills across diverse physics topics. Knowledge of modeling and approximation techniques. Strong written English skills (C1 level or higher). Project Process Steps include: Application, Qualification Process, Project Participation, Task Completion, and Payment. Time Commitment Project tasks typically require 10–20 hours per week during active phases. Actual workload may vary with project needs. Compensation Contributors can earn up to $76 per hour, depending on expertise and pace. Compensation varies by project scope and complexity. Other projects on the platform may offer different earning levels based on requirements.

Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based contract roles for professionals interested in advancing artificial intelligence. The company connects experts with technology companies to test, evaluate, and improve AI systems. This position is a contract opportunity, not a permanent role. Role overview This freelance role is designed for research physicists with strong Python skills who prefer flexible, part-time work. Projects vary in scope and allow contributors to: Design computational physics problems that reflect real-world research workflows Create Python programming challenges using libraries such as Numpy, SciPy, and Sympy Develop problems that are computationally demanding, often requiring extensive manual calculation Write scenarios involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base challenges on real research questions or practical physics applications Verify solutions with Python and standard physics simulation libraries Document problem statements clearly and provide validated solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related discipline Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or Stata is a plus Minimum of 2 years of relevant experience in applied work, research, or teaching Experience with numerical simulation methods Ability to design problems that mirror authentic physics research processes Creative problem-solving skills across various physics domains Familiarity with modeling and approximation techniques in physics Strong written English skills at C1 level or higher How to join Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Project commitment Active project phases typically require 10–20 hours per week. The workload may change depending on project activity. Compensation Contributors can earn up to $76 per hour, depending on experience and project pace. Actual rates vary with project complexity and the expertise required. Other projects on the platform may offer different pay rates based on their needs.

Please submit your CV in English and include your English proficiency level. Mindrift connects professionals with project-based AI work for technology companies. Projects focus on testing, evaluating, and improving AI systems. All roles are temporary and do not constitute permanent employment. Role overview As a Freelance AI Trainer (Research Physicist), assignments involve designing and documenting advanced physics problems. Projects draw on real research workflows and require deep subject knowledge. Tasks may include: Developing original optics problems that reflect real research methods in physics Ensuring problems are computationally intensive, requiring days or weeks to solve Designing scenarios involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Creating problems inspired by research or practical applications in optics and physics Clearly documenting problem statements and providing verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field At least 2 years of professional experience in applied, research, or teaching settings Proficiency with numerical simulation methods Ability to design problems that reflect authentic physics research workflows Creative approach to problem design across physics domains Familiarity with modeling and approximation techniques in physics Strong written English skills (C1+ level) Time commitment During active project phases, tasks typically require 10–20 hours per week. Actual hours may vary depending on the project. Compensation Contributors may earn up to $76 per hour, depending on expertise and pace. Compensation varies by project and requirements. How to apply Application steps: Apply, pass qualification(s), join a project, complete tasks, and receive compensation.

Please submit your CV in English and include your English proficiency level. Mindrift offers project-based contract roles for professionals interested in AI development and research. This Freelance Research Physicist & AI Trainer position is remote and based in Virginia, United States. The work centers on supporting AI projects for technology companies by testing, evaluating, and improving AI systems. This is not a permanent role; assignments are structured as individual projects. Role overview This contract focuses on creating challenging physics problems for AI training and evaluation. Tasks may include: Developing original optics problems that reflect real-world research workflows Designing computationally intensive problems that require days or weeks to solve Building complex reasoning challenges in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing problems on authentic research scenarios or practical physics applications Documenting each problem clearly and providing verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related discipline Minimum of 2 years of professional experience in applied research or teaching Experience with numerical simulation techniques Ability to design problems that mirror actual research workflows Creative approach to building problems across physics fields Understanding of physics modeling and approximation methods Strong written English skills (C1 level or above) Application process Apply Complete qualifications Join a project Work on assigned tasks Receive payment Time commitment During active projects, expect to spend about 10–20 hours per week. Workload may fluctuate based on project requirements. Compensation Rates can reach up to $76 per hour, depending on experience, pace, and the complexity of the project. Actual rates vary by assignment.

Please submit your CV in English and include your English proficiency level. Mindrift connects specialists with AI projects from leading technology companies. Work centers on evaluating, testing, and improving AI systems. All roles are project-based and not permanent employment. Role overview As a Freelance AI Trainer - Research Physicist, contributors take on projects that blend advanced physics with artificial intelligence. Assignments focus on creating and documenting challenging physics problems, often modeled on real research workflows. Some problems require significant computational resources and involve complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics. Tasks include: Developing original optics problems inspired by research practices Designing computationally intensive problems not easily solved manually Creating multi-domain physics problems based on authentic research or practical applications Clearly documenting problem statements and providing verified solutions Requirements Degree in Physics (theoretical, experimental, or computational), or a closely related field At least 2 years of professional experience in applied, research, or teaching settings Experience with numerical simulation methods Ability to design problems that reflect real research workflows Strong problem-solving skills across multiple physics domains Familiarity with modeling and approximation techniques in physics Exceptional written English (C1+ level) Application process Apply Complete qualification assessments Join a project Finish assigned tasks Receive compensation Time commitment Project phases typically require 10–20 hours per week. Actual workload depends on project needs and is not guaranteed outside active periods. Compensation Earn up to $76 per hour, depending on contribution and pace. Rates may vary by project based on scope, complexity, and expertise required. Other projects on the Mindrift platform may offer different rates. This is a remote position based in 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.

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

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 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 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.

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 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, 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 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

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.