Freelance AI Trainer Specializing in Statistics & Python

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…

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.

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.

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.

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 presents unique challenges, contributors may be tasked with:Creating original computational physics problems that reflect genuine physics research workflows;Developing problems that necessitate Python programming for solutions (utilizing Numpy, SciPy, Sympy);Ensuring tasks are computationally intensive and require significant time to solve (days/weeks);Designing complex problems involving reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real research challenges or practical applications from the field of physics;Verifying solutions using Python alongside standard physics simulation libraries;Clearly documenting problem statements and providing validated answers.Ideal Candidate Profile:This position is suited for physicists experienced in Python who are open to part-time, non-permanent projects. Ideally, candidates will 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, or other domain-specific libraries is also acceptable;At least 2 years of professional experience, which can include applied, research, or teaching roles;Experience with numerical simulation techniques;The capability to design problems that accurately represent real physics research workflows;Creative problem-solving skills across various physics domains;A solid understanding of physics modeling and approximation techniques;Strong written English skills (C1+ level).Application Process:Submit your application → Pass the required qualifications → Join a project → Complete assigned tasks → Receive compensation.Project Commitment:During active project phases, tasks are estimated to require approximately 10–20 hours per week based on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $76 per hour, varying based on their contribution level and pace. Compensation can differ across projects depending on scope, complexity, and required expertise. Note that other projects may offer different earning potentials based on their specific requirements.

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.

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.

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.

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 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.

Toloka AI is hiring a freelance AI trainer with experience in civil engineering and Python. This contract position is fully remote and based in Iowa, United States. The role centers on bringing together civil engineering knowledge and artificial intelligence to support the development of advanced AI models. Role overview This position focuses on training AI systems by applying technical expertise from civil engineering. The work involves hands-on tasks that blend engineering concepts with machine learning projects. What you will do Guide the development of AI models using civil engineering knowledge Support training and project tasks with Python programming Collaborate with Toloka AI's team to advance AI applications in civil engineering Location This is a remote contract role based in Iowa, United States.

We invite you to submit your CV in English, including your English proficiency level.Mindrift specializes in connecting experts with project-based AI opportunities for leading technology companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not entail permanent employment.Opportunity Overview:As a contributor, you will engage in diverse projects that may include:Crafting original computational engineering challenges that replicate genuine engineering processes.Formulating problems that necessitate Python programming for engineering calculations and simulations.Ensuring that challenges are computationally demanding and utilize numerical methods or iterative solutions.Creating scenarios focused on system design, optimization, and analysis.Developing problems based on authentic research challenges or practical engineering applications.Validating solutions through Python using standard engineering libraries.Clearly documenting problem statements and providing verified correct answers.Qualifications We Seek:This role is ideal for engineers proficient in Python and open to part-time, non-permanent project work. The ideal candidates will possess:A degree in Electrical Engineering or a related field.Expertise in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also valuable.A minimum of 2 years of professional experience, encompassing applied, research, or teaching roles.A strong understanding of practical engineering constraints and approximations.Excellent written English skills (C1+ level).Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are a plus.Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Commitment:During active phases, expect tasks to require approximately 10–20 hours per week, subject to project demands. This estimate is not a guaranteed workload and applies only while the project is active.Compensation:Contributors can earn up to $69 per hour, contingent on their experience and contribution pace. Compensation varies by project based on its scope, complexity, and the expertise required. 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 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.

toloka-ai seeks a freelance AI Trainer who combines expertise in civil engineering with strong Python programming skills. This fully remote contract centers on supporting learners interested in artificial intelligence, with a focus on candidates based in San Antonio, Texas. Role overview This position involves sharing technical knowledge and practical experience to help others build their skills in AI. The work is project-based and offers flexibility in schedule and approach. What you will do Mentor and guide individuals exploring AI, using a background in civil engineering and Python to clarify concepts. Assist others in developing technical skills and understanding foundational topics relevant to artificial intelligence. Location This role is remote, with a preference for those located in San Antonio, Texas, United States.

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.

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