Freelance AI Trainer - Physics & Python Specialist

To apply, please submit your CV in English and specify your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities at leading tech companies, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based role and not a permanent position.Opportunity Overview:While each project presen…

We invite you to submit your resume in English, clearly indicating your level of English proficiency.Mindrift connects talented specialists with project-based AI opportunities for top-tier tech firms, focusing on testing, evaluating, and enhancing AI systems. Note: This role is project-based and does not offer permanent employment.Role Overview:Each project presents unique challenges, including but not limited to:Designing original computational physics problems that reflect genuine research workflows;Formulating problems requiring Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Creating problems that are computationally demanding, ensuring they cannot be solved manually within practical timeframes (days or weeks);Developing intricate problems necessitating advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research dilemmas or applicable real-world physics scenarios;Verifying solutions through Python using standard physics simulation libraries;Writing clear and comprehensive problem statements along with verified correct answers.Candidate Profile:This opportunity is ideal for individuals with a physics background and Python expertise, seeking part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation (knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is also acceptable);A minimum of 2 years of relevant experience, including applied, research, or teaching roles;Familiarity with numerical simulation techniques;Capability to design problems that emulate authentic physics research workflows;Creative problem-solving skills across various physics domains;Solid command of written English (C1+ level).Project Workflow:To participate, follow these steps: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.Expected Commitment:For this project, contributors can expect to dedicate approximately 10–20 hours per week during active phases, contingent upon project requirements. Note that this is an estimate and not a guaranteed workload.Compensation:Participants in this project can earn up to $76 per hour, depending on their proficiency and contribution pace. Compensation may vary by project based on its scope, complexity, and the expertise required. Please be aware that other projects on the platform may offer different compensation rates based on their specific needs.

We invite you to submit your CV in English, detailing your proficiency in English.Mindrift specializes in connecting experts to project-based AI roles with top technology firms, aimed at testing, assessing, and enhancing AI systems. Please note that this role is project-based and does not constitute permanent employment.Role OverviewWhile each project presents distinct challenges, potential contributors may:Craft original computational physics problems that reflect authentic physics research workflows;Develop programming challenges utilizing Python (including libraries such as Numpy, SciPy, and Sympy);Ensure problems are computationally intensive, requiring extended resolution times (days or weeks) rather than manual solutions;Create complex problems that demand significant reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research issues or practical applications in the field of physics;Validate solutions through Python, using standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Qualifications We SeekThis opportunity is ideal for physicists with Python expertise who are open to part-time, temporary projects. Applicants should ideally possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming language is also acceptable;A minimum of 2 years of relevant professional experience, including applied research or teaching;Experience with numerical simulation techniques;The ability to design problems that replicate authentic physics research scenarios;Creative problem-solving abilities across various physics domains;Strong familiarity with physics modeling and approximation strategies;Exceptional written English skills (C1+ level).How the Process WorksInterested candidates should apply → Pass the qualification assessments → Participate in a project → Complete assigned tasks → Receive compensation.Project Commitment ExpectationsTasks are anticipated to demand approximately 10–20 hours per week during active project phases, contingent on specific project requirements. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $76 per hour, depending on their contribution level and efficiency. Compensation may vary across projects based on their scope, complexity, and expertise needed. Please be aware that different projects on the platform may have varying earning rates.

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.

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.

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

We invite you to submit your CV in English and specify your English proficiency level.Mindrift specializes in connecting experts with project-based AI opportunities for top technology firms, focusing on the assessment, evaluation, and enhancement of AI systems. This is a project-based role and not a permanent position.Role Overview:Each project presents distinct tasks, and contributors may:Innovate original computational physics problems that replicate actual physics research processes;Develop problems necessitating Python programming to resolve (utilizing Numpy, SciPy, SymPy);Ensure the problems are computationally demanding and require more than reasonable timeframes (days/weeks) for manual solutions;Create challenges involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research obstacles or real-world applications from physics;Validate solutions through Python using recognized physics simulation libraries;Document problem statements with clarity and provide verified accurate solutions.Candidate Profile:This opportunity is ideal for physicists with Python expertise 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; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language is acceptable;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience with numerical simulation techniques;An ability to create problems that reflect authentic physics research workflows;Creative problem-design skills across various physics domains;Knowledge of physics modeling and approximation methods;Strong command of written English (C1+ level).Process Overview:Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.Expected Commitment:For this project, tasks are expected to require approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and does not guarantee workload.Compensation:Participants can earn up to $76 per hour, based on their level of expertise and contribution pace. Compensation varies by project, depending on scope, complexity, and required qualifications. Note that other projects may offer different compensation rates based on their specific requirements.

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

We invite you to submit your CV in English, including your English proficiency level.Mindrift specializes in connecting talented professionals with project-based AI opportunities from leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This role is project-based and does not entail permanent employment.Position OverviewEach project will present unique challenges, and contributors may:Develop original computational statistics problems that reflect authentic mathematical research workflows;Craft problems necessitating Python programming to solve (utilizing libraries like Numpy, SciPy, Sympy);Ensure that problems are computationally intensive, requiring significant timeframes (days/weeks) to solve manually;Create problems that involve complex reasoning chains in fields such as number theory, combinatorics, graph theory, and numerical analysis;Base problems on genuine research challenges or practical applications from the mathematical domain;Validate solutions using Python with established mathematical libraries;Clearly document problem statements and provide verified correct answers.QualificationsThis opportunity is well-suited for statistics experts with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Statistics or a related field;Proficiency in Python for numerical validation; expertise in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is also acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching experience;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects are advantageous.Process OverviewTo participate, follow these steps: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project CommitmentFor this project, contributors should expect to commit approximately 10–20 hours per week during active phases, based on project needs. Note that this is an estimate and not a guaranteed workload while the project is ongoing.CompensationContributors can earn up to $73 per hour, depending on their expertise and contribution pace. Compensation may vary across projects based on their scope, complexity, and required skill set. It is important to note that other projects on this platform may offer differing earning levels.

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, along with your English proficiency level.Mindrift specializes in connecting talented professionals with project-based opportunities in artificial intelligence for top tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is on a project basis, not a permanent employment arrangement.Role OverviewEach project presents unique challenges, and contributors may be tasked with the following:Crafting comprehensive statistical problems that mirror industry practices;Assessing AI solutions for accuracy, underlying assumptions, and limitations;Verifying computations or simulations utilizing Python libraries such as NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn;Enhancing AI reasoning to meet industry-standard logical frameworks;Implementing structured scoring criteria for complex, multi-step problems.Ideal Candidate ProfileThis opportunity suits statisticians with Python experience who are open to part-time, non-permanent engagements. Preferred qualifications include:A degree in Statistics or a related discipline, such as Probability Theory, Mathematical Statistics, or Applied Statistics;A minimum of 3 years of professional experience in mathematics;Exceptional written English skills (C1/C2 level);Advanced Python skills for numerical validation;A reliable internet connection.Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience with international or applied projects are advantageous.Application ProcessTo apply, please submit your application, pass any required qualifications, join a project, complete assigned tasks, and receive compensation.Expected CommitmentDuring active project phases, tasks are anticipated to require approximately 10–20 hours per week, based on project demands. This is an estimate and does not guarantee a specific workload.CompensationCompensation for contributions, with rates up to $73/hour*;Fixed project rates or individual rates, determined by project specifics;Some projects may include incentive payments.*Note: Rates may vary based on expertise, skills assessment, location, project requirements, and other factors. Highly specialized experts may receive higher rates. Lower rates may apply during onboarding or non-core project phases. Payment specifics will be provided for each project.

We invite you to submit your CV in English and specify your level of English proficiency.Mindrift serves as a bridge connecting talented specialists with project-based AI opportunities at leading technology firms, with a focus on assessing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not constitute permanent employment.Role OverviewEach project presents unique challenges, and contributors may be tasked with:Crafting original computational engineering scenarios that replicate genuine engineering processes;Formulating problems that necessitate Python programming for solving engineering equations and simulations;Ensuring that problems are computationally demanding and utilize numerical methods or iterative solutions;Creating tasks related to system design, optimization, and analysis;Using real research challenges or practical applications from engineering as a foundation for the problems;Validating solutions with Python using standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.QualificationsThis role is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. The preferred qualifications include:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language is also acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1 level or above);Professional certifications (such as CMME, SAS Certifications, CAP) and experience in international or applied projects are considered advantageous.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentDuring active project phases, tasks are estimated to require approximately 10–20 hours per week, based on project specifications. This is an estimate and does not guarantee a fixed workload while the project is ongoing.CompensationContributors can earn up to $69 per hour, depending on their experience and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise; note that different projects on the platform may have varying pay levels.

Please submit your CV in English, including your English proficiency level.Mindrift bridges specialists with project-based AI roles for top technology firms, focusing on the assessment, enhancement, and optimization of AI systems. This is a project-based opportunity, not a permanent position.Role Overview:Each project presents distinct challenges, and contributors may be involved in tasks such as:Creating precise physics problems that reflect real-world applications;Assessing AI solutions for accuracy, foundational assumptions, and limitations;Verifying computations or simulations utilizing Python libraries (NumPy, Pandas, SciPy);Enhancing AI reasoning to conform to industry-standard logical frameworks;Utilizing structured evaluation criteria for complex, multi-step problems.Candidate Profile:This role is ideal for physicists with Python experience who are open to part-time, temporary projects. Preferred qualifications include:A degree in Physics or a related discipline, such as Engineering Physics, Thermodynamics, Statistical Mechanics, Optics, or Acoustics;A minimum of 3 years of relevant professional experience;Advanced written English skills (C1/C2 level);Proficiency in Python for numerical validation;A reliable internet connection.Professional credentials (e.g., CPhys, EurPhys, MInstP) and experience in international or applied projects are advantageous.How the Process Works:Apply → Complete qualifications → Join a project → Fulfill tasks → Receive compensationProject Time Commitment:For this role, active project tasks are anticipated to require approximately 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload during active phases.Compensation:Paid contributions, with rates up to $55/hour*Fixed project rates or individual compensation may apply based on the project;Some projects may offer additional incentive payments.*Note: Compensation varies according to expertise, skills assessment, location, project requirements, and other factors. Higher rates may be available for highly specialized experts. Initial onboarding or non-core project phases may have lower rates. Payment specifics will be detailed per project.

Toloka AI seeks a freelance Civil Engineer & Python Specialist to help train AI applications. This remote contract role is open to candidates based in New York, United States. The position brings together civil engineering expertise with practical Python programming to support Toloka AI’s projects. Key responsibilities Use civil engineering knowledge and Python skills to develop and improve AI solutions. Create educational materials that assist with AI training and development. Lead or join training sessions on engineering and programming topics. Collaborate with the Toloka AI team to enhance AI model performance. Requirements Strong foundation in civil engineering concepts and practices. Proficient Python programming skills. Experience with AI application development or training is a plus. Clear communication skills, both in writing and in training settings. Ability to work independently as a freelancer and coordinate with a distributed team.

Mindrift connects subject matter experts with project-based roles at major technology companies, focusing on the development and evaluation of AI systems. This freelance opportunity centers on computational chemistry and Python programming, supporting AI projects on a temporary, as-needed basis. Role overview As a Chemistry and Python Specialist, contributors tackle a range of project tasks, such as: Designing computational chemistry problems that mirror real research scenarios Creating problem sets that require Python solutions, often using libraries like NumPy, SciPy, and chemistry-specific packages Ensuring problems are complex enough to require computational approaches rather than manual solutions Developing challenges in areas including physical chemistry, quantum chemistry, and molecular modeling Basing problems on current research topics or practical chemistry applications Using Python to verify answers with standard computational chemistry techniques Documenting each problem and providing clear, correct solutions Requirements Degree in Chemistry or a closely related field Proficiency in Python for numerical and computational tasks; experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also considered At least 2 years of professional experience (applied, research, or teaching) Understanding of numerical methods in chemistry Familiarity with computational chemistry concepts and techniques Excellent written English skills (C1 level or higher) Project details This is a project-based, non-permanent position. Tasks typically require an estimated 10–20 hours per week during active project phases, though actual hours may vary depending on project needs. Compensation Contributors may earn up to $76 per hour, depending on expertise and pace. Actual rates depend on the project’s complexity and requirements. Other projects on the Mindrift platform may offer different compensation structures. Application process To be considered, submit a CV in English and indicate your English proficiency level. The process includes qualification review, project matching, task completion, and compensation for completed work.

Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based freelance roles for mathematics and Python specialists interested in advancing AI systems. Projects focus on assessing, evaluating, and improving AI for leading technology companies. These are not permanent positions; work is assigned per project. Role overview As a Mathematics & Python Specialist - Freelance AI Trainer, you will contribute to projects by creating and validating advanced computational mathematics problems. Tasks may include: Designing original math problems that mirror real research workflows Formulating problems that require Python programming for solutions, often using libraries such as Numpy, SciPy, or Sympy Ensuring problems are computationally intensive, with solutions that could take days or weeks to solve manually Developing problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Basing problems on real research challenges or practical mathematical applications Validating solutions in Python with standard mathematical libraries Documenting problem statements clearly and providing correct, verified answers Requirements Degree in Mathematics (pure or applied) or a related field Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also relevant At least 2 years of professional experience (including applied, research, or teaching roles) Familiarity with numerical methods and symbolic computation Ability to design problems that reflect authentic mathematical research workflows Understanding of computational complexity theory Excellent written English (C1 level or higher) Application process The process includes: 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 may vary depending on project needs and is not guaranteed for the full project duration. Compensation Contributors may earn up to $76 per hour, depending on experience and project contributions. Compensation varies by project scope, complexity, and expertise required.

Please submit your CV in English and include your English proficiency level. Mindrift connects specialists with project-based AI assignments for leading technology companies. These roles focus on testing, evaluating, and improving AI systems. All participation is project-based and does not represent permanent employment. Role overview This freelance Mathematics and Python Specialist position centers on designing and validating computational mathematics problems for AI training. Each project brings distinct challenges and may involve: Creating original computational mathematics problems that reflect real mathematical research workflows Formulating problems that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy Ensuring problems are computationally intensive and not practically solvable by hand Developing problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Basing problems on genuine research challenges or practical mathematical scenarios Verifying solutions in Python with established mathematical libraries Documenting problems clearly and providing verified correct answers Requirements Degree in Mathematics (Pure or Applied) or a related discipline Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is also acceptable At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems that mirror mathematical research workflows Knowledge of computational complexity theory Strong written English skills (C1 or higher) How projects work The process includes: Apply → Complete qualification(s) → Join a project → Execute tasks → Receive payment. Time commitment During active project phases, tasks typically require 10–20 hours per week, depending on project needs. This is an estimate, not a guaranteed workload. Compensation Contributors can earn up to $76 per hour, depending on experience and contribution pace. Actual rates vary by project scope, complexity, and expertise required. Other projects on the platform may offer different earning levels based on their needs.

Please submit your CV in English and include your proficiency level. Mindrift offers project-based roles for specialists interested in AI system testing, evaluation, and improvement. This freelance position focuses on short-term assignments, not permanent employment. Role overview This freelance AI Trainer role centers on computational chemistry and Python. Contributors create and validate original problems that mirror real-world research workflows. Tasks include: Designing computational chemistry problems that reflect genuine research challenges or practical applications. Developing programming challenges using Python, with libraries such as Numpy, SciPy, and chemistry-specific packages. Ensuring problems require computational solutions that cannot be solved manually within a reasonable timeframe. Focusing on complex reasoning in physical chemistry, quantum chemistry, and molecular modeling. Validating solutions using recognized computational chemistry techniques in Python. Documenting problem statements clearly and providing verified answers. Requirements Degree in Chemistry or a related discipline. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar languages is also acceptable. At least 2 years of professional experience in applied chemistry, research, or teaching. Background in numerical methods relevant to chemistry. Understanding of computational chemistry principles and methodologies. Strong written English skills (C1+ level). How to participate Apply Pass qualifications Join a project Complete tasks Receive compensation Project time expectations Active project phases typically require 10–20 hours per week, though actual workload may vary and is not guaranteed. Compensation Earnings can reach up to $76 per hour, depending on expertise and task completion speed. Compensation differs by project, reflecting scope, complexity, and required skills. Other projects on the platform may offer different earning rates.

To apply, please submit your CV in English and indicate your English proficiency level. About the Role toloka-ai, in partnership with Mindrift, connects skilled professionals to project-based AI work for leading technology companies. This position supports the testing, evaluation, and improvement of AI systems. Please note: this is a project-based, freelance role and not a permanent position. What You Will Do Create original optics problems modeled on real-world physics research workflows Design computationally challenging problems that require more than manual calculation (days or weeks of work) Develop problems involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problems on actual research challenges or practical applications in optics and physics Document problem statements clearly and provide verified solutions Who We're Looking For Degree in Physics (theoretical, experimental, or computational) or a closely related field At least 2 years of professional experience in applied physics, research, or teaching Experience with numerical simulation methods Ability to design problems that mirror real physics research Creative problem-solving skills across multiple physics areas Understanding of physics modeling and approximation techniques Written English proficiency at C1 level or above How Projects Work Apply Meet qualifications Join a project Complete assigned tasks Receive payment Time Commitment Active project phases typically require about 10–20 hours per week. Actual workload depends on project needs and may vary. Compensation Earnings can reach up to $76 per hour, depending on expertise and task completion rate. Pay may differ between projects based on their scope, complexity, and required skills.