Freelance AI Trainer - Research Physicist with Python Skills

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

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.

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.

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.

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.

Join Mindrift as a Freelance AI Trainer specializing in Physics!Are you ready to collaborate with leading tech companies on innovative AI projects? At Mindrift, we connect experts with exciting, project-based opportunities that focus on testing, enhancing, and evaluating AI systems. Please note that this is a project-based role, not permanent employment.Role Responsibilities:Devise original computational physics problems that simulate authentic research workflows.Craft problems necessitating Python programming for solutions, utilizing frameworks like Numpy, SciPy, and Sympy.Ensure problems are computationally demanding and cannot be manually solved in a reasonable timeframe.Conceive problems that involve complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics.Base problems on actual research challenges or physics applications.Validate solutions through Python using standard physics simulation libraries.Document problem statements meticulously and provide verified correct answers.

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 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.

Toloka AI is looking for a Freelance AI Trainer with a strong background in biology and Python. This remote contract role is open to candidates based in San Antonio, Texas, or elsewhere in the United States. Role overview This position centers on training and improving AI models for applications in biology. The work involves applying both subject matter knowledge and Python skills to help shape technology that supports research and education in the life sciences. What you will do Use expertise in biology and Python to guide the development of AI models Contribute to projects that aim to advance tools for biological research and learning Requirements Strong knowledge of biology Proficiency with Python Interest in AI model training and improvement

Toloka AI is seeking a freelance Biology and Python Specialist to help train and develop AI models focused on biology. This contract role is fully remote and open to candidates based in the United States, including New York. Role overview This position centers on applying biological knowledge and Python skills to support the creation and improvement of AI systems. The work involves contributing to projects that use artificial intelligence in biological contexts. Location This is a remote freelance role. Candidates may work from anywhere in the United States.

We invite you to submit your CV in English, highlighting your English proficiency level.Mindrift collaborates with talented professionals to connect them with project-based AI opportunities in leading tech firms, focusing on the assessment, evaluation, and enhancement of AI systems. This is a project-based engagement, not a permanent position.Key Responsibilities:Craft original computational statistics challenges that emulate real-world mathematical research workflows.Develop problems that necessitate Python programming for solutions, utilizing libraries such as Numpy, SciPy, and Sympy.Ensure challenges are computationally demanding, requiring extended timeframes to solve manually (days/weeks).Formulate problems that necessitate complex reasoning chains within domains like number theory, combinatorics, graph theory, and numerical analysis.Base issues on authentic research obstacles or practical applications from mathematical fields.Validate solutions through Python, using standard mathematical libraries.Clearly document problem statements and provide verified correct answers.Ideal Candidate Profile:A degree in Statistics or a related area.Proficient in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is acceptable.At least 2 years of relevant professional experience in applied research or teaching.Strong command of written English (C1 or higher).Holding professional certifications (e.g., CMME, SAS Certification, CAP) and experience with international or applied projects is advantageous.Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Commitment:Tasks are expected to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $73 per hour, contingent upon their contribution level and pace. Compensation varies across projects based on their scope, complexity, and required expertise; other projects may offer different earning potential based on their specific requirements.

Mindrift connects experienced professionals with project-based roles in artificial intelligence, focusing on testing and improving AI systems for leading technology companies. This is a freelance, non-permanent position based remotely in New York, United States. Role overview As an Expert in Chemistry & Python, freelance AI trainers at Mindrift design and validate computational chemistry challenges. These projects require contributors to: Create advanced computational chemistry problems that reflect real research workflows Develop scenarios requiring Python programming to solve, using libraries such as numpy, scipy, and chemistry-specific packages Ensure that problems are computationally intensive and not feasible to solve manually within days or weeks Incorporate complex reasoning in areas like physical chemistry, quantum chemistry, and molecular modeling Base tasks on real-world research challenges or practical applications in chemistry Validate solutions with Python, following standard computational chemistry methods Document challenges clearly and provide accurate, verified answers Requirements Degree in Chemistry or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also valued At least 2 years of professional experience in applied chemistry, research, or teaching Understanding of numerical methods in chemistry Familiarity with computational chemistry concepts and methodologies Strong written English skills (C1 level or above) Process The typical process includes: apply, meet qualifications, join a project, complete assigned tasks, and receive payment. Time commitment Project work generally requires about 10–20 hours per week during active phases. Actual hours may vary depending on project needs and are not guaranteed. Compensation Earnings can reach up to $76 per hour, depending on expertise and pace. Compensation may differ between projects based on their scope, complexity, and required skills. Application note: Please submit your CV in English and include your level of English proficiency.

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.

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.

Toloka AI is seeking a Freelance AI Trainer with a strong background in both Biology and Python. This remote contract role is based in Wisconsin, United States. Role overview This position centers on creating and presenting training materials for AI projects. The main focus is on helping others understand biological concepts and Python programming as they relate to artificial intelligence work. What you will do Develop clear, effective training content covering biology and Python topics Deliver these materials to support AI project teams Communicate complex ideas in a way that is accessible and engaging Requirements Expertise in biology Strong knowledge of Python programming Ability to explain technical subjects clearly