Freelance Data Annotator - AI Trainer

Role overview Toloka Annotators seeks a Freelance Data Annotator - AI Trainer to assist with machine learning projects. This contract position is fully remote but requires residency in Pennsylvania. The main focus is preparing and reviewing data that supports the development of AI systems. What you will do Annotate and label data sets for AI and machine lear…

Toloka Annotators seeks a Freelance Data Annotator to assist with AI training projects. This contract role is remote and open to those located in New York, United States. The work centers on labeling and annotating data to support the improvement of machine learning models and AI algorithms. Key Responsibilities Review data sets and apply labels following detailed project instructions Annotate information to help develop AI systems Support the accuracy and performance of machine learning models used in various applications Location This position is fully remote but requires residency in New York, United States.

Toloka Annotators seeks a Freelance AI Trainer - Data Annotation Specialist to contribute to ongoing AI projects. This is a remote contract role for candidates living in Wisconsin, United States. Responsibilities Label and annotate data sets, supporting the training and improvement of AI systems Follow provided guidelines to maintain accuracy and consistency in all work Apply an understanding of AI project needs to produce reliable, high-quality annotations Location This position is fully remote but requires residency in Wisconsin, United States.

Role overview Toloka Annotators seeks a Freelance AI Trainer - Data Annotation Specialist to help strengthen machine learning models. This position is remote and open to candidates in San Antonio, Texas, or anywhere in the United States. The main focus is on annotating and reviewing large datasets to support AI development. What you will do Review and annotate data for AI projects Check labels for accuracy and consistency on each assignment Work as part of a team to uphold high standards for data quality Remote work This role is fully remote. Team members collaborate online and complete tasks from home.

Toloka Annotators seeks a Freelance Data Annotator to assist with AI training projects. This position is fully remote and open to candidates based in Iowa or anywhere in the United States with reliable internet access. Key Responsibilities Review and label various data sets for use in AI model development Maintain accuracy and consistency throughout the annotation process Support projects aimed at advancing artificial intelligence technologies What Helps You Thrive Strong attention to detail and a methodical approach to reviewing data Ability to work independently and manage remote assignments Interest in technology and contributing to data-driven projects Location This is a remote role based in Iowa or elsewhere in the United States.

Please submit your resume in English and include your English proficiency level. Toloka Annotators brings together people from around the world to contribute to freelance online tasks that help improve artificial intelligence. The platform connects skilled individuals with generative AI projects from leading technology companies, aiming to advance AI by including diverse perspectives and experiences. Role overview As a Freelance AI Trainer – English Annotator, you will support AI systems by helping them better understand and interpret information. Projects can include rating AI-generated content, checking for factual accuracy, or comparing different responses. The type and frequency of tasks depend on current project availability. Main responsibilities Review and analyze datasets, which may include text, images, or videos. Label or categorize content according to detailed project guidelines. Identify and report content that is factually incorrect, sensitive, inappropriate, or unclear. Project details This freelance position is project-based. Tasks are available only when projects are active, and invitations to participate depend on your profile and current project needs. Compensation Pay rates depend on project scope and required expertise. AI trainers can earn up to $23 per hour.

Please submit your resume in English and specify your proficiency level. Toloka brings together detail-oriented freelancers worldwide to contribute to projects that help train and improve artificial intelligence systems. The platform connects people with tasks in Generative AI for leading technology companies, relying on human input to advance AI’s accuracy and reliability. Role overview This freelance, remote position focuses on supporting AI development through human feedback. As an English Annotator - AI Trainer, tasks may include evaluating AI-generated content, checking facts, or comparing different responses. Project assignments depend on availability and Toloka’s current needs. Main responsibilities Review data sets, which may include text, images, or videos Label or categorize content following specific project instructions Identify and report content that is factually incorrect, sensitive, inappropriate, or unclear Project availability and compensation Assignments are project-based and depend on eligibility and current opportunities. Each project offers its own pay structure. For this project, AI Trainers can earn up to $23 per hour. Location This role is remote and open to candidates in San Antonio, Texas, United States.

Please submit your resume in English and include your proficiency level. Toloka offers remote freelance tasks that contribute to the improvement of artificial intelligence systems. The company partners with global technology leaders to advance AI by involving real people in its development. More information is available at toloka.ai. Role overview This freelance position focuses on supporting Generative AI projects as an English Annotator. Work may involve reviewing AI-generated content, evaluating factual accuracy, or comparing different responses, depending on the needs of active projects. The goal is to help AI systems interpret and understand information more effectively. Key responsibilities Review data such as text, images, or videos with attention to detail Classify or label content according to project-specific guidelines Report material that is incorrect, sensitive, inappropriate, or unclear Note: This is project-based freelance work. Tasks are available only when projects are active. Participation depends on your profile and current demand. Compensation Pay can reach up to $23 per hour for this role.

Please submit your resume in English and specify your English proficiency level. This freelance, remote position with Toloka is open to candidates based in Wisconsin, United States. Freelance English Annotators play a key role in training AI systems to better interpret and process information. Assignments are project-based and available when projects are active, offering flexibility for those balancing other commitments. What you will do Review a variety of data types, such as text, images, or videos, provided for each project Label or categorize content according to specific project instructions Identify and report content that is factually incorrect, sensitive, inappropriate, or unclear Tasks are assigned based on project needs and your profile. You may be invited to participate in multiple projects, depending on your background and current requirements. Requirements Bachelor’s degree in any field At least 1 year of professional experience Advanced English proficiency (C1 or above), both written and spoken Strong logical reasoning, fact-checking, and analytical skills Attention to detail and ability to follow complex guidelines Clear communication and willingness to ask for clarification when needed Interest in technology and artificial intelligence Compensation AI trainers can earn up to $23 per hour. Actual pay depends on the scope of each project and the expertise required. What this freelance role offers Flexible, part-time remote projects that can fit around other work or academic responsibilities Hands-on experience with advanced AI initiatives to strengthen your portfolio A chance to influence how future AI models interpret and communicate in English

Join our dynamic team as a Freelance AI Trainer focused on Social Media Annotation. This project will engage you in enhancing AI systems through detailed annotation tasks that help in training and improving AI models. Your contributions will be vital in ensuring the accuracy and efficiency of AI applications in the social media realm.

Please submit your resume in English and include your proficiency level. Toloka connects freelance annotators with projects that help advance artificial intelligence. This remote, project-based role is open to candidates living in Iowa, United States. Annotators support AI training by evaluating and labeling content, such as text, images, or videos, depending on the project. What you will do Review and analyze data, which may include written text, images, or videos. Label or categorize content following detailed project instructions. Identify and report material that is inaccurate, sensitive, inappropriate, or unclear. This is a freelance position. Tasks are available only when projects are active, and invitations depend on your profile and current needs. Compensation Pay rates depend on the project and required expertise. Annotators can earn up to $23 per hour in this role. Learn more about Toloka at toloka.ai.

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

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.

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

We invite you to submit your CV in English, highlighting your English proficiency level.Mindrift collaborates with talented professionals to connect them with project-based AI opportunities in leading tech firms, focusing on the assessment, evaluation, and enhancement of AI systems. This is a project-based engagement, not a permanent position.Key Responsibilities:Craft original computational statistics challenges that emulate real-world mathematical research workflows.Develop problems that necessitate Python programming for solutions, utilizing libraries such as Numpy, SciPy, and Sympy.Ensure challenges are computationally demanding, requiring extended timeframes to solve manually (days/weeks).Formulate problems that necessitate complex reasoning chains within domains like number theory, combinatorics, graph theory, and numerical analysis.Base issues on authentic research obstacles or practical applications from mathematical fields.Validate solutions through Python, using standard mathematical libraries.Clearly document problem statements and provide verified correct answers.Ideal Candidate Profile:A degree in Statistics or a related area.Proficient in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is acceptable.At least 2 years of relevant professional experience in applied research or teaching.Strong command of written English (C1 or higher).Holding professional certifications (e.g., CMME, SAS Certification, CAP) and experience with international or applied projects is advantageous.Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Commitment:Tasks are expected to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $73 per hour, contingent upon their contribution level and pace. Compensation varies across projects based on their scope, complexity, and required expertise; other projects may offer different earning potential based on their specific requirements.

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

We invite you to submit your resume in English, specifying your level of English proficiency.At Mindrift, we merge innovation with opportunity, harnessing the power of collective intelligence to ethically shape the future of AI.About UsThe Mindrift platform serves as a bridge connecting specialists with AI projects from leading tech innovators. Our mission is to unleash the potential of Generative AI by leveraging real-world expertise from around the globe.Role OverviewAs a Data Science AI Trainer, you will play a pivotal role in advancing GenAI models to tackle specialized questions and enhance complex reasoning skills. You will have the chance to collaborate on various unique projects.Your responsibilities may include:Crafting original computational data science challenges that replicate real-world analytical processes across sectors such as telecom, finance, government, e-commerce, and healthcare.Designing problems that require Python programming solutions (utilizing libraries like pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).Ensuring that the challenges are computationally demanding and cannot be solved manually within feasible timeframes (days/weeks).Creating scenarios necessitating sophisticated reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Formulating deterministic problems with reproducible outcomes, avoiding stochastic elements or employing fixed random seeds for exact results.Grounding challenges in actual business scenarios focusing on customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Designing comprehensive problems that cover the entire data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).Integrating big data processing requirements that call for scalable computational strategies.Validating solutions through Python using standard data science libraries and statistical techniques.Clearly documenting problem statements within realistic business contexts and providing verified correct answers.Getting StartedTo join us, simply apply to this posting, meet the qualifications, and you can contribute to exciting projects that align with your skills, all while working on your own schedule. By creating training prompts and refining model responses, you will help shape the future of AI, ensuring that technology serves everyone.

Please submit your CV in English and mention your English proficiency level. Mindrift connects experienced professionals with project-based AI assignments for technology companies. The platform focuses on testing, evaluating, and improving AI systems. This is a project-based, non-permanent position. Role overview The Freelance Data Scientist (Python & SQL) - AI Trainer designs and validates data science challenges that mirror real-world analytics problems from fields like telecom, finance, government, e-commerce, and healthcare. Projects are remote and based in Iowa, United States. What you will do Create computational data science challenges based on genuine business scenarios, such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Develop problems that require advanced Python programming, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Ensure challenges are computationally intensive and cannot be solved by hand. Design tasks involving data processing, statistical analysis, feature engineering, predictive modeling, and extracting business insights. Produce deterministic problems with reproducible solutions, using fixed seeds or avoiding randomness. Build comprehensive challenges that cover the entire data science workflow, from data ingestion to deployment considerations. Include big data scenarios that require scalable solutions. Validate solutions using Python, standard data science libraries, and statistical methods. Document each problem clearly, providing realistic business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with proven business impact. Portfolio of completed projects or publications showing real-world problem-solving abilities. Advanced Python skills for data science (including Pandas, Numpy, Scipy, Sklearn, Statsmodels). Strong knowledge of statistical analysis and machine learning, including algorithm applications. Proficiency in SQL and database operations for data analysis and manipulation. Experience with Generative AI (LLMs, RAG, prompt engineering, vector databases). Familiarity with MLOps practices and deploying machine learning models. Understanding of frameworks such as TensorFlow, PyTorch, or LangChain. Strong written English skills at C1 level or above. Application process Apply Pass qualifications Join a project Complete tasks Receive compensation

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 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.