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Experience Level
Entry Level
Qualifications
The ideal candidate will possess:A strong background in biology, with an emphasis on computational biology. Proficiency in Python programming and experience with AI frameworks. Excellent communication skills, with the ability to convey complex concepts clearly. Experience in data analysis and modeling. A passion for AI and its application in biological sciences.
About the job
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.
About Toloka AI
Toloka AI is at the forefront of artificial intelligence innovation, leveraging cutting-edge technology to enhance biological research and applications. Our mission is to empower researchers and organizations by providing advanced AI solutions that are accessible and effective.
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Are you a skilled Python programmer passionate about influencing the future of AI? As large-scale language models transition from simple chatbots to significant tools for scientific exploration, we need your expertise to help create high-quality training data that can revolutionize education, advance research, and enhance software development across various …
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Are you a coding aficionado looking to influence the evolution of AI? As large-scale language models transition from basic chatbots to robust tools for software development, automation, and technical education, your role becomes pivotal. By providing high-quality training data, we can empower AI to democratize programming knowledge, adapt to emerging technologies, and enhance workflows for developers globally. Your expertise is the key to unlocking the next generation of AI. We seek coding specialists who are passionate about computer science, software engineering, data structures, algorithms, databases, systems programming, and web development. You will engage with advanced language models on subjects such as object-oriented programming, version control with Git, RESTful API design, debugging techniques, data pipeline construction, and secure coding practices—carefully documenting all failure modes to strengthen model reasoning. On a typical day, you will interact with the model on practical coding scenarios and theoretical computer science questions, assess factual accuracy and logical coherence, capture reproducible error traces, and propose enhancements to our prompt engineering and evaluation metrics. A bachelor's, master's, or PhD in computer science or a related technical field is preferred; professional software development experience, contributions to open-source projects, technical blog writing, or achievements in programming competitions would be advantageous. Effective metacognitive communication—demonstrating your thought process—is essential. Ready to transform your coding skills into the foundational knowledge for tomorrow's AI? Apply now and help train the model that will educate the world.
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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.
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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.
Contract|$8/hr - $65/hr|Remote|United States of America
Are you a coding aficionado with fluency in German, ready to influence the evolution of AI technology? As large-scale language models transition from simple chatbots to powerful tools for scientific innovation, your role will be pivotal in providing the high-quality training data essential for shaping the future of AI. This training data is the backbone of tomorrow’s AI, which aims to democratize top-tier education, align with groundbreaking research, and enhance software development for engineers globally. We are seeking passionate coding specialists who excel in algorithms, data structures, software architecture, frontend and backend development, cloud infrastructure, and systems programming—all while confidently communicating in German. Your expertise will be challenged as you engage with advanced language models on critical topics such as asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems. You will document every error encountered to reinforce model reasoning and enhance performance. In your daily activities, you will interact with the language model on various software engineering tasks and technical scenarios in German, ensuring logical accuracy and coding fluency. You will evaluate the naturalness and correctness of the German language usage, record reproducible error traces, and recommend improvements to prompt engineering and evaluation metrics. An ideal candidate would possess a bachelor’s, master’s, or PhD in computer science, software engineering, or a closely related technical discipline. Real-world coding experience, technical writing proficiency in German, or contributions to open-source projects will be considered advantageous. The ability to communicate clearly and metacognitively—by “showing your work”—is crucial. Are you ready to leverage your coding and German language skills to contribute to the knowledge base for the next generation of AI? Apply now to start teaching the model that will educate the world!
Part-time|$76/hr - $76/hr|Remote|Remote — San Antonio, Texas, United States
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.
Contract|Remote|Remote — San Antonio, Texas, United States
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
Part-time|$73/hr - $73/hr|Remote|Remote — Wisconsin, United States
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Contract|$8/hr - $65/hr|Remote|United States of America
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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.
Part-time|$73/hr - $73/hr|Remote|Remote — United States
We invite you to submit your CV in English, along with your English proficiency level.Mindrift specializes in connecting talented professionals with project-based opportunities in artificial intelligence for top tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is on a project basis, not a permanent employment arrangement.Role OverviewEach project presents unique challenges, and contributors may be tasked with the following:Crafting comprehensive statistical problems that mirror industry practices;Assessing AI solutions for accuracy, underlying assumptions, and limitations;Verifying computations or simulations utilizing Python libraries such as NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn;Enhancing AI reasoning to meet industry-standard logical frameworks;Implementing structured scoring criteria for complex, multi-step problems.Ideal Candidate ProfileThis opportunity suits statisticians with Python experience who are open to part-time, non-permanent engagements. Preferred qualifications include:A degree in Statistics or a related discipline, such as Probability Theory, Mathematical Statistics, or Applied Statistics;A minimum of 3 years of professional experience in mathematics;Exceptional written English skills (C1/C2 level);Advanced Python skills for numerical validation;A reliable internet connection.Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience with international or applied projects are advantageous.Application ProcessTo apply, please submit your application, pass any required qualifications, join a project, complete assigned tasks, and receive compensation.Expected CommitmentDuring active project phases, tasks are anticipated to require approximately 10–20 hours per week, based on project demands. This is an estimate and does not guarantee a specific workload.CompensationCompensation for contributions, with rates up to $73/hour*;Fixed project rates or individual rates, determined by project specifics;Some projects may include incentive payments.*Note: Rates may vary based on expertise, skills assessment, location, project requirements, and other factors. Highly specialized experts may receive higher rates. Lower rates may apply during onboarding or non-core project phases. Payment specifics will be provided for each project.
Contract|$8/hr - $65/hr|Remote|United States of America
Are you a Java coding aficionado ready to influence the future of artificial intelligence? As large-scale language models transition from simple chatbots to sophisticated engines of scientific discovery, your contribution is crucial. With your expertise in high-quality training data, you can help democratize world-class education, align with cutting-edge research, and enhance software development processes for engineers across the globe. We are seeking Java coding specialists who possess a deep understanding of algorithms, data structures, software architecture, both frontend and backend development, cloud infrastructure, and systems programming—all executed fluently in Java. You'll engage with advanced language models, tackling complex topics such as asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems. Your role will also involve meticulously documenting every failure mode to strengthen model reasoning. On a regular day, you will interact with the model on software engineering tasks and technical scenarios utilizing Java. Your responsibilities will include verifying logical accuracy and coding fluency, assessing code quality and clarity, capturing reproducible error traces, and proposing enhancements to our prompt engineering and evaluation metrics. An ideal candidate will hold a Bachelor's, Master's, or PhD in computer science, software engineering, or a related technical field. Practical Java experience, technical writing skills, or contributions to open-source projects will be considered strong indicators of suitability. Effective, metacognitive communication—essentially “showing your work”—is a must. Are you ready to transform your Java coding skills into a foundational knowledge base for tomorrow’s AI? Apply now and start teaching the model that will educate the world!
Contract|$8/hr - $65/hr|Remote|United States of America
Are you an accomplished C++ coding expert ready to influence the future of artificial intelligence? As large-scale language models advance from sophisticated chatbots to vital instruments of scientific innovation, your role becomes crucial. With quality training data, the AI of tomorrow can provide elite educational opportunities, keep up with the latest research, and enhance software development processes for engineers globally. Your expertise is essential in nurturing the next wave of AI.We are seeking C++ coding specialists who are passionate about algorithms, data structures, software architecture, frontend and backend development, cloud infrastructure, and systems programming, and who can operate fluently in C++. You will engage with advanced language models on topics such as asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems, meticulously documenting each failure mode to strengthen the model's reasoning capabilities.On any given day, your responsibilities will involve interacting with the model on software engineering tasks and technical scenarios utilizing C++, verifying logical accuracy and coding fluency, assessing code quality and clarity, capturing reproducible error traces, and offering enhancements to our prompt engineering and evaluation metrics.A Bachelor's, Master's, or PhD in computer science, software engineering, or a closely related field is preferred; practical C++ experience, technical writing, or contributions to open-source projects will be seen as advantageous. Clear and reflective communication—demonstrating your thought process—is a key requirement.Are you ready to transform your C++ coding expertise into foundational knowledge for tomorrow’s AI? Apply now and start shaping the model that will educate the world.
Part-time|$69/hr - $69/hr|Remote|Remote — Virginia, United States
We invite you to submit your CV in English and specify your level of English proficiency.Mindrift serves as a bridge connecting talented specialists with project-based AI opportunities at leading technology firms, with a focus on assessing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not constitute permanent employment.Role OverviewEach project presents unique challenges, and contributors may be tasked with:Crafting original computational engineering scenarios that replicate genuine engineering processes;Formulating problems that necessitate Python programming for solving engineering equations and simulations;Ensuring that problems are computationally demanding and utilize numerical methods or iterative solutions;Creating tasks related to system design, optimization, and analysis;Using real research challenges or practical applications from engineering as a foundation for the problems;Validating solutions with Python using standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.QualificationsThis role is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. The preferred qualifications include:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language is also acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1 level or above);Professional certifications (such as CMME, SAS Certifications, CAP) and experience in international or applied projects are considered advantageous.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentDuring active project phases, tasks are estimated to require approximately 10–20 hours per week, based on project specifications. This is an estimate and does not guarantee a fixed workload while the project is ongoing.CompensationContributors can earn up to $69 per hour, depending on their experience and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise; note that different projects on the platform may have varying pay levels.
Contract|$8/hr - $65/hr|Remote|United States of America
Are you an expert in Bash coding eager to influence the future of artificial intelligence? As large-scale language models transition from simple chatbots to formidable tools for scientific advancement, your role becomes crucial in providing high-quality training data. This data will not only democratize education but also keep pace with innovative research and enhance software development across industries.We are seeking passionate Bash coding specialists who excel in algorithms, data structures, software architecture, both frontend and backend development, cloud infrastructure, and systems programming. Your expertise will be pivotal in challenging advanced language models on various topics including asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging complex distributed systems. Your documentation of failure modes will greatly contribute to strengthening model reasoning.On a typical day, you will engage with the model on software engineering tasks and technical challenges using Bash. You will verify logical accuracy, coding fluency, assess code quality, capture reproducible error traces, and provide recommendations to refine our prompt engineering and evaluation metrics.A bachelor’s, master’s, or PhD in computer science, software engineering, or a closely related technical field is preferred. Real-world Bash experience, coupled with skills in technical writing or contributions to open-source projects, are strong indicators of a good fit. Exceptional metacognitive communication—“showing your work”—is essential in this role.Are you ready to leverage your Bash coding skills to build the knowledge foundation for tomorrow’s AI? Apply now to start teaching the model that will enlighten the world.
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.
Part-time|$76/hr - $76/hr|Remote|Remote — Virginia, United States
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.
Part-time|$76/hr - $76/hr|Remote|Remote — New York, United States
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.
Part-time|$76/hr - $76/hr|Remote|Remote — Iowa, United States
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.
Apr 29, 2026
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