Freelance AI Trainer Specializing in Statistics & Python

Please submit your CV in English and indicate your English proficiency level. Mindrift offers project-based contract work for specialists interested in AI projects with leading technology companies. The primary focus is on testing, evaluating, and improving AI systems. This contract role is not a permanent employment position. Role overview The Freelance AI Trainer specializing in Statistics and Python will design original computational statistics problems that mirror real-world mathematical research. The work involves creating challenging tasks that require advanced Python programming, often using libraries like Numpy, SciPy, and Sympy. Problems should be computationally intensive, sometimes requiring days or weeks to solve, and should reflect authentic research scenarios or practical mathematical applications. Key responsibilities Create original statistics problems grounded in real research workflows. Develop problem sets that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy. Ensure problems are complex and computationally demanding. Incorporate advanced topics such as number theory, combinatorics, graph theory, and numerical analysis. Validate solutions with Python and established mathematical libraries. Document clear problem statements and provide verified solutions. Requirements Degree in Statistics or a related field. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued. At least 2 years of professional experience, which may include applied research or teaching. Strong written English skills at C1 level or above. Professional certifications (such as CMME, SAS Certifications, CAP) and international or applied project experience are considered a plus. How to apply Apply Pass qualifications Join a project Complete tasks Receive compensation Time commitment During active project phases, expect to dedicate about 10–20 hours per week. Workload may fluctuate based on project needs. Compensation Contributors can earn up to $73 per hour, depending on expertise and speed. Rates vary by project, considering scope, complexity, and required skills. Other projects on the platform may offer different pay structures. Location This is a remote, project-based contract. Candidates based in San Antonio, Texas, United States are welcome to apply.

This freelance, project-based role with Mindrift is open to candidates based in Wisconsin and offers remote work. Mindrift connects experts in statistics and Python with technology companies seeking to improve AI systems. Projects focus on designing, evaluating, and validating computational problems grounded in real-world mathematical research. Role overview Freelance AI trainers will create and validate complex computational statistics problems. Assignments are modeled on authentic research workflows and require advanced reasoning in areas such as number theory, combinatorics, graph theory, and numerical analysis. Problems are computationally demanding and may take days or weeks to solve. Contributors will use Python, especially libraries like Numpy, SciPy, and Sympy, to both develop and verify solutions. Clear documentation of problem statements and solutions is essential. Requirements Degree in Statistics or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus At least 2 years of relevant experience (including research, teaching, or applied work) Strong written English skills (C1 level or above) Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or practical projects are valued Project commitment Expect to work 10–20 hours per week during active project periods. Actual hours may fluctuate based on project needs. Compensation Rates can reach up to $73 per hour, depending on experience, contribution level, and project complexity. Compensation may differ across projects based on their specific requirements. How to apply Submit a CV in English and indicate your English proficiency level. The application process includes: Apply Complete qualifications Join a project Fulfill tasks Receive compensation

Please submit your CV in English and specify your English proficiency level. Mindrift connects skilled professionals with project-based AI assignments for leading technology companies. Work centers on testing, evaluating, and improving AI systems. All participation is project-based and does not constitute permanent employment. Role overview This freelance Statistical Analyst & Python Specialist position supports AI training projects on a flexible, contract basis. Assignments vary by project and may include: Developing original computational statistics problems modeled on real-world mathematical research workflows Designing challenges that require Python programming for solutions, using libraries such as Numpy, SciPy, and Sympy Creating computationally intensive problems that would take significant time to solve manually Building advanced reasoning problems in number theory, combinatorics, graph theory, or numerical analysis Basing problem sets on authentic research scenarios or applied mathematics Verifying solutions in Python with standard mathematical libraries Documenting problem statements clearly and providing validated solutions Requirements Degree in Statistics or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also welcome At least 2 years of professional experience (applied, research, or teaching) Strong written English at C1 level or higher Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are a plus How to join Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Time commitment Project tasks typically require 10–20 hours per week during active phases. Workload varies with project demand and is not guaranteed outside active periods. Compensation Contributors may earn up to $73 per hour, depending on skill level and pace. Actual rates depend on project scope, complexity, and required expertise. Other projects on the platform may offer different compensation based on their specific demands. Location This is a remote contract role open to candidates based in Virginia, United States.

This freelance, project-based position with toloka-ai (via Mindrift) connects experienced professionals to projects focused on testing, evaluating, and improving AI systems for leading technology companies. The role is remote, open to candidates based in New York, United States, and does not offer permanent employment. Role overview The AI Trainer - Statistics & Python Specialist creates challenging computational statistics problems modeled on real-world mathematical research. Each problem should require advanced reasoning and substantial computation, often involving Python programming with libraries such as Numpy, SciPy, and Sympy. Problems must be complex enough that they cannot be solved manually in a reasonable timeframe. Scenarios should reflect genuine research challenges or practical applications in mathematics, including topics like number theory, combinatorics, graph theory, and numerical analysis. Each problem requires clear documentation, a verified solution, and validation using Python and standard mathematical libraries. Requirements Degree in Statistics or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar tools is valued Minimum 2 years of relevant professional experience (applied, research, or teaching) Strong written English (C1 level or higher) Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are considered a plus Project process Apply by submitting a CV in English and stating English proficiency Complete qualification steps Join a project when matched Work on assigned tasks Receive compensation for completed work Time commitment Active project phases typically require about 10–20 hours per week. Workload may fluctuate and is not guaranteed outside of active project periods. Compensation Rates can reach up to $73 per hour, depending on expertise and task completion rate. Compensation varies by project, reflecting complexity and required skills.

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.

Please submit your CV in English and include your English proficiency level. toloka-ai, working with Mindrift, matches subject matter experts with project-based AI work for leading technology companies. This freelance role is remote and based in Iowa, United States. Engagement is project-based rather than permanent employment. Role overview This position centers on creating original computational statistics problems that mirror real mathematical research. Tasks involve designing challenges that require Python programming solutions, often using libraries such as Numpy, SciPy, or Sympy. Problems should be computationally intensive and not solvable by hand within a reasonable time. Work includes developing problems in advanced areas like number theory, combinatorics, graph theory, and numerical analysis. Each problem should draw from authentic research questions or practical mathematical scenarios. Solutions must be verified using Python and standard mathematical libraries, with clear documentation and fully checked answers. Requirements Degree in Statistics or a related discipline Experience using Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also relevant At least 2 years of professional experience in applied, research, or teaching roles Excellent written English skills at C1 level or higher Professional certifications (such as CMME, SAS Certifications, CAP) or international/applied project experience are considered a plus How projects work Apply Pass qualifications Join a project Complete assigned tasks Receive payment Time commitment Project phases typically require 10–20 hours per week. Actual workload may vary depending on project needs. Compensation Earnings can reach up to $73 per hour, depending on contribution and pace. Rates differ by project, reflecting scope, complexity, and required expertise.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects skilled specialists with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. All participation is project-based and does not create permanent employment. Role overview This freelance AI Trainer role centers on designing and validating computational physics problems that require Python programming. Each project brings a unique set of tasks, often inspired by real research workflows or practical physics applications. Contributors may: Design computational physics problems that reflect authentic research scenarios Create challenges solvable only through Python code, often using libraries like Numpy, SciPy, or Sympy Ensure problems are computationally intensive and not easily solved by hand Develop questions requiring advanced reasoning in areas such as mechanics, electromagnetism, thermodynamics, or quantum mechanics Validate solutions in Python, sometimes using established physics simulation libraries Document problem statements clearly and provide confirmed correct answers Requirements Degree in Physics (theoretical, experimental, or computational) or a related discipline Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus At least 2 years in applied research or teaching roles Background in numerical simulation methods Ability to design problems that mirror real-world physics research Creative problem-solving across multiple physics domains Strong understanding of physics modeling and approximation techniques Excellent written English skills at C1 level or above How projects work Apply Pass qualifications Join a project Complete tasks Receive payment Time commitment During active project phases, expect about 10–20 hours per week, depending on project needs. Workload may fluctuate and is not guaranteed outside these periods. Compensation Earn up to $76 per hour, depending on expertise and contribution speed. Pay varies by project based on complexity and required skills. Other Mindrift projects may offer different rates.

Please submit your CV in English and indicate your English proficiency level. This freelance, project-based role with Mindrift connects optical engineers in Wisconsin, United States, to remote assignments focused on advancing AI systems. Each project draws on deep knowledge of physics and Python programming, with tasks shaped by real-world research and computational challenges. What you will do Create original computational physics problems that reflect real research workflows. Design scenarios requiring Python solutions, often using Numpy, SciPy, or Sympy. Develop complex, computationally intensive problems that cannot be solved manually in a short timeframe. Write problems involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base assignments on real research questions or practical physics applications. Verify solutions in Python with established simulation libraries. Document problem statements clearly and provide accurate, validated answers. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also considered. At least 2 years of relevant experience in applied, research, or teaching roles. Background in numerical simulation methods. Ability to design problems that mirror research processes in physics. Creative approach to problem design across multiple physics domains. Familiarity with modeling and approximation techniques in physics. Strong written English skills at C1 level or higher. How to get started Apply Complete qualifications Join a project Fulfill assigned tasks Receive compensation Time commitment Plan for 10-20 hours per week during active project phases. Actual hours may shift depending on project needs. Compensation Earnings can reach up to $76 per hour, depending on experience and contribution speed. Pay rates vary by project scope, complexity, and expertise required. Other projects on the platform may offer different compensation based on their demands.

Are you a statistics aficionado ready to influence the future of artificial intelligence? As large-scale language models transition from simple chatbots to advanced vehicles for scientific exploration, your expertise is crucial. With top-notch training data, the AI of tomorrow will make world-class education accessible, keep abreast of innovative research, and enhance data analysis for researchers globally. Your role will be pivotal in driving the next generation of AI. We seek passionate statistics specialists who excel in probability theory, statistical modeling, data analysis, hypothesis testing, regression analysis, multivariate statistics, Bayesian inference, time series analysis, experimental design, and machine learning algorithms. You will engage with advanced language models on complex topics such as statistical inference, model selection, sampling methods, causal inference, ANOVA, and statistical power—meticulously documenting failures to strengthen model reasoning. Your daily tasks will involve discussing data scenarios and theoretical statistics with the model, verifying factual accuracy and logical coherence, recording reproducible error traces, and recommending enhancements to our prompt engineering and evaluation metrics. An ideal candidate will possess a master’s or PhD in statistics, data science, mathematics, or a closely related discipline; peer-reviewed publications, practical statistical research, or substantial experience with large datasets would indicate a strong fit. Exceptional metacognitive communication skills—being able to “show your work”—are essential. Are you ready to leverage your statistics knowledge to create the foundation for the AI of the future? Apply today and help educate the model that will empower others.

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.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. Participation is freelance and does not represent permanent employment. Role overview This freelance role is designed for quantum research scientists with strong Python skills. Contributors help train and refine AI models for computational physics and related fields. All work is remote and project-based, open to candidates located in Wisconsin, United States. What you will do Design original computational physics problems that reflect real research workflows Create problems that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy Ensure problems are computationally intensive, taking days or weeks to solve manually Develop challenges involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problems on actual research obstacles or practical applications in physics Validate solutions using Python and standard physics simulation libraries Document problem statements clearly and provide verified, correct answers Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or other programming languages is also valued At least 2 years of professional experience in applied research or teaching Experience with numerical simulation methods Ability to design problems that mirror real research workflows in physics Creative problem-solving skills across physics domains Familiarity with modeling and approximation techniques in physics Strong written English skills (C1 level or higher) Project commitment Expect to dedicate about 10–20 hours per week during active project periods. Actual workload may vary depending on project needs. Compensation Contributors can earn up to $76 per hour, depending on contribution level and pace. Rates vary by project based on scope, complexity, and required expertise. Other projects on the platform may offer different compensation structures. Application process Apply Pass qualifications Join a project Complete tasks Receive compensation

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 English proficiency level. Mindrift connects professionals with project-based assignments aimed at improving and evaluating AI systems for leading technology companies. These roles are temporary and do not lead to permanent employment. Role overview This freelance, remote position is open to candidates located in Iowa, United States. As an AI Trainer with a focus on physics and Python, work is flexible and part-time, with hours depending on project needs. Assignments vary across different projects. What you will do Design computational physics problems that reflect real research workflows. Create challenging tasks requiring Python programming, using libraries such as Numpy, SciPy, and Sympy. Ensure problems are computationally intensive and not solvable by hand in a reasonable timeframe. Develop problems involving advanced reasoning in areas like mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base problem sets on real research challenges or practical physics applications. Verify solutions using Python and standard physics simulation tools. Clearly document problem statements and provide verified answers. Requirements Degree in physics (theoretical, experimental, or computational) or a related discipline. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or Stata is a plus. Minimum 2 years of professional experience in applied physics, research, or teaching. Background in numerical simulation techniques. Ability to design problems that mirror real-world physics research. Creative approach to problem design across different physics fields. Familiarity with physics modeling and approximation methods. Strong written English skills at C1 level or higher. Project time commitment Estimated workload is 10–20 hours per week, depending on project requirements. This is an estimate and not a guaranteed number of hours. Compensation Contributors may earn up to $76 per hour, depending on expertise and contribution speed. Actual rates vary based on project scope, complexity, and required skills. Other projects on the platform may offer different rates. How to apply Submit your application. Complete qualifications. Join a project. Finish assigned tasks. Receive payment.

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

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.

Please submit your CV in English and indicate your level of English proficiency. Toloka AI, working with Mindrift, offers freelance, project-based assignments focused on advancing AI systems for technology clients. This contract role is temporary and centers on evaluating and improving AI through real-world engineering challenges. The position is remote and based in San Antonio, Texas, United States. Role overview This freelance assignment involves designing and validating material science problems that reflect actual engineering workflows. Assignments require both subject matter expertise and strong Python programming skills to create, test, and document computationally intensive tasks. What you will do Develop material engineering challenges based on authentic research questions or practical scenarios. Create problems that require Python programming for calculations, simulations, and numerical analysis. Ensure tasks involve computational complexity, using numerical methods or iterative solutions where appropriate. Design assignments related to system design, optimization, and analysis. Validate all solutions using Python and standard engineering libraries. Document each problem clearly and provide accurate, verified solutions. Requirements Degree in Material Science or a closely related discipline. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus. Minimum of 2 years of professional experience in applied, research, or teaching roles. Solid understanding of engineering constraints and practical approximations. Excellent written English (C1 level or above). Project workflow Application Qualification Assessment Project Engagement Task Completion Compensation Time commitment During active project phases, expect to dedicate approximately 10–20 hours per week. Actual workload may fluctuate based on project requirements. Compensation Contributors may earn up to $76 per hour, depending on project complexity, contribution level, and pace. Compensation varies by assignment and expertise required. Other projects on the platform may offer different rates.

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.