Mathematics & Python Specialist - Freelance AI Trainer

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 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.

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 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

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.

We invite you to submit your CV in English, detailing your level of English proficiency.At Mindrift, we connect skilled professionals with project-based opportunities in AI for top technology firms, emphasizing the testing, evaluation, and enhancement of AI systems. Note that engagement is project-based and not a permanent position.Role OverviewThis role encompasses a variety of tasks tailored to each project, including:Creating complex mathematics problems that mirror real-world applications;Assessing AI solutions for accuracy, underlying assumptions, and limitations;Validating calculations or simulations utilizing Python libraries (NumPy, Pandas, SciPy);Refining AI reasoning to meet industry-standard logical frameworks;Implementing structured scoring criteria for multi-step mathematical problems.Candidate ProfileThis position is ideal for mathematicians with Python experience who are interested in part-time, non-permanent projects. The ideal candidates should possess:A degree in Mathematics or a related field, such as Algebra, Calculus, or Number Theory;A minimum of 3 years of professional experience in mathematics;Proficiency in English at a strong written level (C1/C2);Advanced Python skills for numerical validation;A reliable internet connection.Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects will be advantageous.ProcessSteps to engage: Apply → Complete qualifications → Join a project → Execute tasks → Receive payment.Project CommitmentFor this role, tasks are projected to require approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and not a guaranteed workload.CompensationPaid contributions, with rates up to $55/hour*Compensation may include fixed project rates or individual rates based on project specifications;Some projects may offer incentive payments.*Note: Rates are subject to variation based on expertise, skills assessment, location, project requirements, and other factors. Higher rates may be available for highly specialized professionals.

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

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.

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.

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.

Please submit your resume in English and specify your English proficiency level. Mindrift offers project-based assignments for professionals in technology fields, focusing on testing and improving AI systems. This freelance role is not a permanent position and is open to candidates based in Wisconsin, United States. All work is remote. Role overview This freelance AI Trainer position blends electrical engineering knowledge with Python programming. The role centers on designing and verifying engineering problems that challenge AI systems, using real-world scenarios and computational methods. Main responsibilities Design computational engineering problems that mirror real engineering workflows Create tasks requiring Python programming for calculations and simulations Ensure problems involve numerical methods or iterative solutions and are computationally intensive Develop challenges in system design, optimization, and analysis Base problems on research topics or practical engineering applications Verify solutions using Python and standard engineering libraries Document problem statements clearly and provide accurate, verified answers Requirements Degree in Electrical Engineering or a related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also acceptable Minimum of 2 years of professional experience (applied, research, or teaching) Understanding of practical engineering constraints and approximations Strong written English skills at C1 level or above Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are considered a plus How to apply Apply Pass qualifications Join a project Complete tasks Receive compensation Time commitment Project phases usually require about 10-20 hours per week. Actual workload may shift depending on project needs. Compensation Contributors can earn up to $69 per hour, depending on experience and contribution speed. Rates may vary by project based on complexity, scope, and required expertise. Other projects on Mindrift may offer different compensation levels.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects subject matter experts with project-based AI work for major technology companies. Projects center on assessing, evaluating, and improving AI systems. This is a project-based, non-permanent role. Role overview This freelance contract focuses on designing and verifying computational physics problems for AI training. The work is remote and open to candidates based in Wisconsin, United States. What you will do Create original computational physics problems that reflect real research workflows. Develop challenges that require Python programming to solve, often using libraries such as Numpy, SciPy, and Sympy. Ensure each problem requires significant computation and cannot be solved by hand within a reasonable time. Design scenarios involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base challenges on authentic research questions or practical situations in physics. Verify solutions using Python and standard physics simulation tools. Document problems clearly and provide thoroughly checked solutions. Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related field. Strong Python skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus. At least 2 years of relevant experience in research, application, or teaching. Background in numerical simulation methods. Ability to design problems reflecting real research workflows in physics. Creative thinking across multiple areas of physics. Solid understanding of modeling and approximation techniques in physics. Excellent written English (C1 level or higher). How the process works Apply Complete required qualifications Join a project Finish assigned tasks Receive payment Project time commitment Active projects typically require about 10–20 hours per week. Actual workload depends on project needs and may vary. Compensation Contributors may earn up to $76 per hour, depending on expertise and pace. Actual rates and workload vary based on project scope, complexity, and required skills.