Optical Engineer with Python Expertise - Freelance AI Trainer Position

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

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

We invite you to submit your CV in English, highlighting your level of English proficiency.Mindrift seamlessly connects experts with dynamic, project-based AI opportunities at leading tech firms that focus on testing, evaluating, and enhancing AI systems. This is a project-based role and not a permanent position.Key ResponsibilitiesIn this role, you will engage in various unique tasks, which may include:Creating innovative computational physics problems that emulate authentic physics research processes;Formulating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring that the problems are computationally intensive and require significant time (days/weeks) for resolution;Developing challenges that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or practical physics applications;Validating solutions using Python alongside standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.QualificationsThe ideal candidate for this role will be a physicist with substantial Python experience, open to part-time, non-permanent engagements. We are looking for individuals who possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries can also be considered;A minimum of 2 years of relevant professional experience, whether in applied research or teaching;Experience in numerical simulation techniques;The capability to design problems that reflect genuine physics research workflows;Creative problem-solving skills across various physics domains;Knowledge of physics modeling and approximation strategies;Strong written English skills (C1 level or higher).How to EngageApplication Process: Apply → Pass qualifying assessments → Join a project → Fulfill tasks → Receive compensation.Project ExpectationsDuring active phases, tasks are estimated to require approximately 10–20 hours per week, depending on project needs. This estimate is not a guaranteed workload and applies solely while the project is active.CompensationContributors can earn up to $76 per hour, contingent upon their contribution level and pace. Compensation may vary across projects based on scope, complexity, and required expertise. Please be aware that other projects on the platform may present varying earning levels based on their specific requirements.

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

We invite you to submit your CV in English, including your English proficiency level.Mindrift serves as a bridge connecting talented specialists with exciting project-based AI opportunities at top technology firms, dedicated to the evaluation, testing, and enhancement of AI systems. This is a project-based role, not a permanent position.Key ResponsibilitiesParticipants in this role will engage in various unique tasks, which may include: Crafting innovative computational physics problems that emulate genuine research workflows;Developing problems necessitating Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that problems are computationally intensive and not solvable manually in a reasonable timeframe;Formulating challenges that involve complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problem scenarios on real-world research challenges or practical applications within the field of physics;Validating solutions through Python with established physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis role is perfect for physicists with Python experience who are interested in part-time, non-permanent projects. The ideal candidates will possess: A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; alternative programming languages such as MATLAB, R, C, SQL, as well as familiarity with libraries like Numpy, Pandas, SciPy, and Stata are also acceptable;At least 2 years of professional experience, which can be in applied, research, or teaching roles;Experience with numerical simulation methods;The ability to design problems that reflect real physics research processes;Creative problem-solving skills across various physics domains;Knowledge of physics modeling and approximation techniques;Strong command of written English (C1 level or higher).Application ProcessTo apply, follow these steps: Submit your application → Complete qualifications → Join a project → Complete assigned tasks → Receive payment.Project ExpectationsDuring active project phases, tasks are estimated to require approximately 10–20 hours weekly, depending on project needs. This is an estimate, and actual workload may vary during project activity.CompensationContributors can earn up to $76 per hour, contingent on their experience and contribution pace. Compensation varies by project scope, complexity, and expertise required. Note that other projects may offer different compensation levels based on their unique requirements.

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

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.At Mindrift, we specialize in connecting skilled professionals with exciting project-based AI opportunities at leading technology companies, dedicated to testing, evaluating, and enhancing AI systems. Note that all positions are project-based and not permanent employment.Role OverviewAs a contributor, you will engage in various tasks specific to each project, including:Creating original computational statistics challenges that replicate authentic mathematical research workflows;Designing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that challenges are computationally demanding and cannot be solved manually in a reasonable timeframe;Formulating problems requiring complex reasoning in domains like number theory, combinatorics, graph theory, and numerical analysis;Grounding problems in genuine research obstacles or practical mathematical applications;Validating solutions using Python with standard mathematical libraries;Clearly documenting problem statements and providing verified correct answers.Qualifications and RequirementsThis position is ideal for statistics specialists with Python experience who are open to part-time, temporary projects. Preferred qualifications include:A degree in Statistics or a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or equivalent programming languages;A minimum of 2 years of professional experience, whether in applied work, research, or teaching;Strong written English (C1+ proficiency);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.Process OverviewTo participate, you will need to apply, pass any necessary qualifications, join a project, complete assigned tasks, and receive compensation.Project CommitmentActive phases of projects are estimated to require approximately 10–20 hours per week, depending on specific project demands. Please note this is an estimate and not a guaranteed workload.CompensationContributors can earn up to $73 per hour, contingent upon their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and expertise required. Be aware that other projects may offer differing compensation structures.

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.

Application Instructions: Please submit your CV in English and indicate your level of English proficiency.Mindrift collaborates with specialists to connect them with project-based AI opportunities for leading technology companies, emphasizing the testing, evaluation, and enhancement of AI systems. This is a project-based role, not a permanent position.Opportunity Overview:Each project presents unique tasks, and contributors may be involved in:Designing original computational physics problems that simulate authentic physics research workflows.Creating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy).Ensuring problems are computationally intensive, requiring significant timeframes for resolution (days to weeks).Developing problems that involve complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics.Formulating problems based on genuine research challenges or applicable physics practices.Verifying solutions using Python with standard physics simulation libraries.Documenting problem statements comprehensively and providing validated correct answers.Qualifications:This role suits quantum researchers experienced in Python and open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field.Proficiency in Python for numerical validation, with equivalent knowledge in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries also acceptable.A minimum of 2 years of professional experience in applied, research, or teaching roles.Experience with numerical simulation methods.The ability to design problems that reflect authentic physics research workflows.Creative problem design skills across various physics disciplines.Familiarity with physics modeling and approximation techniques.Strong written English proficiency (C1+ level).Application Process: Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Expected Project Commitment: Tasks are estimated to require approximately 10–20 hours per week during active project phases, based on specific project needs. This estimate is not a guaranteed workload and applies only while the project is active.Compensation: Contributors can earn up to $76 per hour, contingent upon their experience and contribution pace. Compensation varies across projects based on scope, complexity, and required expertise. Note that other projects on the platform may offer different earning levels according to their requirements.

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

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

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.

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.