Freelance Supply Chain Consultant - AI Trainer

toloka-ai seeks a freelance AI Trainer who combines expertise in civil engineering with strong Python programming skills. This fully remote contract centers on supporting learners interested in artificial intelligence, with a focus on candidates based in San Antonio, Texas. Role overview This position involves sharing technical knowledge and practical experi…

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI assignments for leading technology companies. These projects focus on assessing, evaluating, and improving AI systems. Participation is on a project basis and does not represent permanent employment. What you will do Create original computational mathematics problems that mirror real mathematical research workflows Design problems requiring Python programming to solve, using libraries such as Numpy, SciPy, or Sympy Ensure problems are computationally intensive and cannot be solved manually in a reasonable timeframe Develop problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Base scenarios on real-world research challenges or practical mathematical applications Validate solutions using Python and standard mathematical libraries Document problem statements clearly and provide accurate, verified solutions Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other relevant programming languages is also considered At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems reflecting authentic mathematical research processes Understanding of computational complexity theory Excellent written English skills (C1+ level) How to apply The application process includes: Apply → Pass qualifications → Join a project → Complete tasks → Get compensated. Time commitment Tasks typically require around 10–20 hours per week during active project phases. Actual workload may vary depending on project needs. Compensation Contributors may earn up to $76 per hour, depending on expertise and pace. Earnings vary by project scope, complexity, and required skills. Other projects on the platform may offer different compensation based on their requirements.

Toloka AI is looking for a Freelance AI Trainer with a strong background in biology and Python. This remote contract role is open to candidates based in San Antonio, Texas, or elsewhere in the United States. Role overview This position centers on training and improving AI models for applications in biology. The work involves applying both subject matter knowledge and Python skills to help shape technology that supports research and education in the life sciences. What you will do Use expertise in biology and Python to guide the development of AI models Contribute to projects that aim to advance tools for biological research and learning Requirements Strong knowledge of biology Proficiency with Python Interest in AI model training and improvement

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

We invite you to submit your CV in English, indicating your proficiency level.At Mindrift, we bridge the gap between skilled professionals and innovative AI projects for top-tier technology firms, concentrating on the assessment, testing, and enhancement of AI systems. Note that this is a project-based opportunity rather than a permanent position.Opportunity OverviewEach project will present distinctive challenges, and contributors may:Design original computational engineering tasks that replicate authentic engineering workflows;Create programming challenges that utilize Python for engineering calculations and simulations;Ensure tasks are computationally demanding, requiring numerical methods or iterative solutions;Develop problems related to system design, optimization, and analysis;Base challenges on genuine research issues or practical applications from the engineering domain;Validate solutions using Python with established engineering libraries;Provide clear documentation of problem statements along with verified correct answers.Ideal Candidate ProfileThis position is well-suited for engineers with Python expertise seeking part-time, non-permanent project engagements. Preferred qualifications include:A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, contingent upon project demands. This estimate does not guarantee a specific workload and applies only while the project is active.CompensationContributors may earn up to $69 per hour, depending on their skill level and contribution pace. Compensation varies based on project scope, complexity, and required expertise. Other projects on the platform may feature different earning opportunities depending on their specific requirements.

We invite you to submit your CV in English, clearly indicating your level of English proficiency.Mindrift connects skilled professionals with project-based AI opportunities for some of the most innovative tech companies, focusing on the testing, evaluation, and enhancement of AI systems. The roles are project-based, not permanent positions.Opportunity OverviewEach project presents distinct challenges, where contributors may be tasked with:Crafting original computational statistics problems that mirror authentic mathematical research workflows;Designing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring problems are computationally demanding and cannot be manually solved within a reasonable timeframe (days to weeks);Formulating problems that require complex reasoning chains in domains such as number theory, combinatorics, graph theory, and numerical analysis;Grounding problems in real-world research dilemmas or practical applications from the field of mathematics;Validating solutions using Python and standard mathematical libraries;Providing clear documentation of problem statements along with accurate and verified solutions.Desired QualificationsThis position is ideal for statistics specialists with Python experience who are interested in part-time, non-permanent project work. Ideal candidates will possess:A degree in Statistics or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or Stata may be considered equivalent;At least 2 years of professional experience in applied, research, or educational settings;Strong written English skills (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects are highly regarded.Process OverviewApplication → Qualification Assessment → Project Participation → Task Completion → CompensationProject CommitmentFor this project, contributors can expect to dedicate approximately 10–20 hours per week during active phases, depending on specific project requirements. This is an estimate and not a guaranteed workload, applicable only while the project is ongoing.CompensationContributors have the potential to earn up to $73 per hour, contingent on their level of expertise and speed of contribution. Compensation varies per project based on the scope, complexity, and expertise required. Be aware that other projects on the platform may offer differing compensation levels based on their specific demands.

We invite you to submit your resume in English, clearly indicating your level of English proficiency.Mindrift connects talented specialists with project-based AI opportunities for top-tier tech firms, focusing on testing, evaluating, and enhancing AI systems. Note: This role is project-based and does not offer permanent employment.Role Overview:Each project presents unique challenges, including but not limited to:Designing original computational physics problems that reflect genuine research workflows;Formulating problems requiring Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Creating problems that are computationally demanding, ensuring they cannot be solved manually within practical timeframes (days or weeks);Developing intricate problems necessitating advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research dilemmas or applicable real-world physics scenarios;Verifying solutions through Python using standard physics simulation libraries;Writing clear and comprehensive problem statements along with verified correct answers.Candidate Profile:This opportunity is ideal for individuals with a physics background and Python expertise, seeking part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation (knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is also acceptable);A minimum of 2 years of relevant experience, including applied, research, or teaching roles;Familiarity with numerical simulation techniques;Capability to design problems that emulate authentic physics research workflows;Creative problem-solving skills across various physics domains;Solid command of written English (C1+ level).Project Workflow:To participate, follow these steps: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.Expected Commitment:For this project, contributors can expect to dedicate approximately 10–20 hours per week during active phases, contingent upon project requirements. Note that this is an estimate and not a guaranteed workload.Compensation:Participants in this project can earn up to $76 per hour, depending on their proficiency and contribution pace. Compensation may vary by project based on its scope, complexity, and the expertise required. Please be aware that other projects on the platform may offer different compensation rates based on their specific needs.

To apply, please submit your CV in English, along with your English proficiency level.Mindrift connects skilled professionals with project-based AI opportunities at leading tech firms, emphasizing the testing, evaluation, and enhancement of AI systems. This role is project-based and does not constitute permanent employment.Role OverviewEach project presents unique challenges, with contributors tasked to:Craft original computational engineering problems that replicate authentic engineering workflows;Design issues requiring Python programming to perform engineering calculations and simulations;Ensure the problems are computationally intensive, utilizing numerical methods or iterative solutions;Develop challenges focused on system design, optimization, and analysis;Base problems on actual research challenges or practical engineering applications;Validate solutions using Python with standard engineering libraries;Clearly document problem statements and provide verified correct answers.Candidate ProfileThis opportunity is ideal for engineers with Python expertise who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and domain-specific libraries is also acceptable;A minimum of 2 years of professional experience in applicable settings such as applied, research, or teaching;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How to Get InvolvedApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject CommitmentDuring active phases, tasks are projected to require approximately 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsParticipants can earn up to $69 per hour, contingent on their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Please note that other projects on the platform may offer varying pay scales based on specific requirements.

Mindrift connects chemistry experts with project-based AI work for leading tech companies. Projects focus on testing, evaluating, and improving AI systems. All roles are freelance and do not represent permanent employment. What you will do Create original computational chemistry problems that reflect real-world research workflows. Develop problems requiring Python programming solutions, using libraries such as numpy, scipy, and chemistry-specific packages. Ensure problems are computationally complex and not solvable manually within days or weeks. Design tasks that involve advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling. Base problems on actual research challenges or practical chemistry applications. Validate solutions in Python using established computational chemistry methods. Write clear problem statements and provide verified solutions. Requirements Degree in Chemistry or a related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also considered. At least 2 years of relevant experience in applied work, research, or teaching. Experience with numerical methods in chemistry. Understanding of computational chemistry concepts and techniques. Strong written English skills at C1 level or higher. How it works Submit an application and CV in English, including your English proficiency level. The process follows these steps: Apply Pass qualifications Join a project Complete assigned tasks Receive payment Project details During active project phases, tasks typically require 10-20 hours per week. Actual workload depends on project needs and may vary. Compensation Rates can reach up to $76 per hour, depending on expertise and contribution. Compensation varies by project scope, complexity, and the specialized knowledge required. Different projects may offer different rates based on their requirements.

We invite you to submit your CV in English, including your level of English proficiency.Mindrift links talented specialists with project-based opportunities in AI for top tech companies, focusing on the testing, evaluation, and enhancement of AI systems. This role is project-based and does not entail permanent employment.Overview of the Role:Each project presents unique challenges, and contributors may:Devise original computational physics problems that reflect real physics research workflows;Develop problems that necessitate Python programming solutions (utilizing Numpy, SciPy, Sympy);Create computationally intensive problems that cannot be solved manually in a reasonable timeframe (days/weeks);Formulate problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on authentic research challenges or practical physics applications;Validate solutions using Python along with standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Qualifications:This opportunity is ideal for physicists experienced in Python, who are open to part-time, non-permanent projects. The ideal contributor will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language is equally valuable;A minimum of 2 years of professional experience, applicable in applied research or teaching;Experience with numerical simulation methods;The ability to design problems that accurately reflect real physics research workflows;Creative problem-solving skills across various physics disciplines;Knowledge of physics modeling and approximation techniques;Strong proficiency in written English (C1+).Process Overview:Application → Qualification(s) → Project Involvement → Task Completion → PaymentProject Commitment:During active project phases, tasks are expected to require approximately 10–20 hours per week based on project needs. This is an estimate and does not guarantee a fixed workload.Compensation:Contributors can earn up to $76 per hour, depending on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Please note that different projects on the platform may offer varying compensation levels.

Interested candidates should submit their CV in English, detailing their level of English proficiency.Mindrift bridges the gap between specialists and project-based AI opportunities for top-tier tech firms, emphasizing the testing, evaluation, and enhancement of AI systems. Note that participation is project-based and does not equate to permanent employment.Key Responsibilities:Design innovative material engineering challenges that replicate real engineering processes.Develop problems that necessitate Python programming for engineering calculations and simulations.Ensure that challenges are computationally demanding, utilizing numerical methods or iterative solutions.Create problems that involve system design, optimization, and analysis.Base challenges on genuine research issues or practical engineering applications.Validate solutions using Python and standard engineering libraries.Clearly document problem statements and provide verified solutions.Ideal Candidate Profile:This opportunity is well-suited for material scientists and engineers with Python expertise who are open to part-time, non-permanent engagements. Preferred qualifications include:A degree in Material Science or a related field.Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also acceptable.A minimum of 2 years of professional experience in applied research, teaching, or industry.A solid understanding of practical engineering constraints and approximations.Exceptional written English skills (C1 or higher).Application Process:Interested applicants should apply, pass the necessary qualifications, join a project, complete assigned tasks, and receive compensation accordingly.Project Time Commitment:During active phases, tasks are anticipated to require approximately 10-20 hours per week, contingent on project demands. This estimate is not a guaranteed workload and applies only while the project is active.Compensation:Contributors can earn up to $76 per hour, depending on their contribution level and pace. Compensation varies by project scope, complexity, and required expertise, with different projects offering distinct earning potentials.

We kindly request that you submit your CV in English, along with your English proficiency level.At Mindrift, we specialize in connecting talented professionals with project-based AI roles for top-tier tech companies, with a focus on evaluating, testing, and enhancing AI systems. This is a project-based role, not a permanent position.Role OverviewEach project presents its own unique challenges, where contributors may be tasked with:Creating innovative computational physics problems that reflect authentic research workflows;Formulating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that the problems are computationally intensive and cannot be resolved manually within practical timeframes;Designing tasks that require complex reasoning within mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or applicable scenarios from physics;Validating solutions through Python using established physics simulation libraries;Clearly documenting problem statements and providing verified correct solutions.Ideal Candidate ProfileThis opportunity is perfect for optical engineers proficient in Python who are interested in part-time, non-permanent projects. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also acceptable;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation techniques;The ability to craft problems that emulate real physics research processes;Creative problem-solving skills across various physics domains;Knowledge of modeling techniques and physics approximations;Strong written English skills (C1+ level).Application ProcessTo apply, please submit your application, pass the necessary qualifications, join a project, complete assigned tasks, and get compensated.Project CommitmentFor this role, the estimated workload during active project phases is approximately 10–20 hours per week, contingent upon project needs. This is an estimate, and not a guaranteed workload during the project's active period.Compensation DetailsContributors can earn up to $76 per hour, depending on their level of expertise and contribution pace. Compensation varies across projects based on their scope, complexity, and required skill set.

Toloka AI is hiring a Freelance English Writer & AI Trainer for a remote contract position based in San Antonio, Texas. This role centers on developing and refining training materials that support AI technologies. Collaboration with a distributed team is key to ensuring all content is clear, effective, and up to a high standard. Responsibilities Create and edit English-language training resources used by AI systems Review content with team members to improve quality and clarity Contribute to materials that help make AI tools more accurate and useful Requirements Strong written English skills Keen attention to detail when creating and editing content Ability to work both independently and collaboratively with a remote team

Toloka AI is looking for a Freelance Junior Journalist - AI Trainer to join projects remotely from San Antonio, Texas. This role combines journalism with practical work in artificial intelligence. It offers the chance to explore emerging topics in AI while sharpening reporting and writing skills. What you will do Support projects that advance the development and understanding of AI technologies Use journalistic techniques to help improve AI systems Stay informed about current trends and tools in artificial intelligence Location This is a remote position for candidates based in San Antonio, Texas, United States.

Join Mindrift as a Freelance Python Data Scraping Engineer!Are you a talented Python Data Scraping Engineer eager to make an impact? Mindrift is seeking skilled professionals to contribute to the Tendem project by optimizing data scraping workflows within our innovative hybrid AI + human system.As an AI Pilot—our term for this role—you will work alongside Tendem Agents handling repetitive tasks, while you bring your critical thinking skills, domain expertise, and quality control to ensure precise and actionable outcomes.This part-time remote opportunity is perfect for technical experts experienced in web scraping, data extraction, and processing.About MindriftAt Mindrift, we connect specialists with cutting-edge AI projects from leading tech innovators. Our mission is to unlock the potential of Generative AI by leveraging real-world expertise from around the globe.Your RoleAs a Python Data Scraping Engineer, you will manage data scraping tasks that demand technical accuracy for web extraction and processing. Utilize our internal tools like Apify and OpenRouter, as well as your creative problem-solving skills, to achieve efficient results.Key ResponsibilitiesOversee end-to-end data extraction workflows across intricate websites, guaranteeing thorough coverage, accuracy, and dependable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) and custom workflows to expedite data collection, validation, and task execution, ensuring all requirements are met.Adapt strategies to reliably extract data from dynamic and interactive web sources, including handling JavaScript-rendered content and changes in site behavior.Implement data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.Scale scraping operations for large datasets effectively, employing batching or parallelization, while monitoring failures and maintaining stability against minor changes in site structure.CompensationContributors can earn up to $32 per hour, based on their expertise and contribution pace. Note that compensation may differ across projects depending on their complexity and requirements.Getting StartedReady to join us? Apply now to qualify and engage in projects that match your technical skills, on your own schedule. From coding and automation to refining AI outputs, you will play a vital role in advancing AI capabilities and real-world applications.

Mindrift brings together specialists for project-based roles in the AI sector, working with major technology companies to test, evaluate, and improve AI systems. This position is not a permanent job but offers freelance, project-driven work. Role overview The Freelance AI Trainer & Supply Chain Consultant role centers on applying procurement and supply chain expertise to help shape, test, and refine AI models. Work involves developing realistic disruption scenarios, outlining mitigation strategies, and reviewing AI-generated recommendations for accuracy and business fit. Projects typically relate to manufacturing and procurement, with a strong focus on ERP systems. What you will do Develop supply chain disruption scenarios based on real manufacturing and procurement challenges, such as supplier delays, quantity changes, logistics issues, and quality failures. Define expected results and effective mitigation strategies for each scenario. Review and evaluate AI-generated recommendations using practical business logic. Check outputs for accuracy, completeness, and relevance within ERP platforms, especially Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP). Contribute to structured data creation and validation following provided guidelines. Requirements Minimum of 4 years in procurement, supply chain management, or purchasing, ideally within a manufacturing context. Strong grasp of procurement workflows, including purchase orders, vendor management, inventory, and production planning. Experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365. Background in designing and analyzing supply chain disruption scenarios and mitigation strategies. Understanding of disruption types: delays, shortages, quality issues, and logistics challenges. Familiarity with Incoterms and logistics or transportation management. Knowledge of Bill of Materials (BOM) structures and production planning processes. Experience tracking supplier performance metrics like OTIF (On Time In Full), lead times, and quality scores. Strong analytical skills to assess AI outputs with real-world business logic. Experience in data validation, structured data entry, or annotation work. Excellent written English communication skills. Project commitment Plan for approximately 10-20 hours per week during active project periods. Actual workload may shift based on project needs. Compensation Rates reach up to $60 per hour, depending on experience and specific project requirements. Application process Apply Complete qualification steps Join a project Carry out assigned tasks Receive payment

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.

We invite you to submit your CV in English, along with your English proficiency level.At Mindrift, we connect specialists with project-based AI opportunities from top-tier tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Opportunity Overview:Each project encompasses distinct tasks, where contributors may be expected to:Create challenging prompts for AI;Evaluate AI-generated outputs for accuracy, assumptions, and logical consistency;Enhance AI reasoning to align with foundational principles and industry standards;Utilize structured scoring criteria to evaluate complex problem-solving.Qualifications:This role is ideal for legal consultants and attorneys with expertise in US law seeking part-time, non-permanent projects. Preferred qualifications include:An accredited law degree (Bachelor, J.D., LLM, FLLM) from a US institution;A minimum of 2 years of practical legal experience within US jurisdiction;Proficient written English skills (C1/C2 level);A reliable internet connection.Workflow:Application → Qualification Process → Project Engagement → Task Completion → PaymentProject Time Commitment:Contributors can expect to dedicate approximately 10–20 hours per week during active project phases, contingent on specific project demands. This is an estimate and not a guaranteed workload.Compensation:Participants may earn up to $75 per hour, based on their level of engagement and contribution pace. Compensation rates may vary across different projects according to scope, complexity, and expertise required.

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.