Freelance Junior Journalist - AI Trainer

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 …

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.

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 experience to help others build their skills in AI. The work is project-based and offers flexibility in schedule and approach. What you will do Mentor and guide individuals exploring AI, using a background in civil engineering and Python to clarify concepts. Assist others in developing technical skills and understanding foundational topics relevant to artificial intelligence. Location This role is remote, with a preference for those located in 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.

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.

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.

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.

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.

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 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.

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 invite you to submit your CV in English and specify your English proficiency level.Mindrift specializes in linking experts with project-based AI opportunities in leading technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. This is a project-based role, not a permanent position.Opportunity OverviewWhile each project presents distinct tasks, contributors may be required to:Devise innovative computational physics problems that emulate authentic physics research workflows;Generate problems that necessitate Python programming for resolution (utilizing Numpy, SciPy, Sympy);Ensure that tasks are computationally intensive, making manual resolution impractical within reasonable timeframes (days/weeks);Create problems that involve complex reasoning chains within mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on actual research challenges or practical applications relevant to the field of physics;Validate solutions using Python with established physics simulation libraries;Clearly document problem statements and provide verified correct answers.Candidate ProfileThis role is ideal for quantum researchers proficient in Python who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; equivalent skills in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages will also be considered;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation techniques;The ability to create problems that reflect genuine physics research workflows;Creative thinking in problem design across diverse areas of physics;Familiarity with physics modeling and approximation methodologies;Exceptional written English skills (C1+ level).Project Engagement ProcessApply → Complete qualifications → Join a project → Fulfill tasks → Receive payment.Project Commitment ExpectationsDuring active phases, tasks are estimated to require approximately 10-20 hours per week, subject to project specifications. This is an estimated workload and not a guaranteed commitment.CompensationContributors on this project 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; note that other projects may offer different earning potential based on their unique needs.

Please submit your CV in English and include your English proficiency level. Toloka AI, working through the Mindrift platform, brings together skilled professionals for project-based roles supporting technology companies. Mindrift’s projects focus on testing, evaluating, and improving AI systems, giving contributors a chance to work on practical AI challenges. Role overview This Senior Python Developer - Code Migration Specialist position centers on migrating and testing large, multi-language codebases. The role calls for strong Python development skills, deep experience with Linux and Docker, and the ability to interpret code in C, Rust, and Go. Familiarity with LLM tools such as Roo Code or Claude Code is important for streamlining migration and development tasks. What you will do Create functional black box tests for complex codebases in multiple languages. Design and maintain Docker environments to ensure reproducible builds and tests across platforms. Track code coverage and set up automated scoring to meet industry standards. Apply LLMs (like Roo Code and Claude) to automate repetitive work, speed up development, and improve code quality. Requirements 5+ years as a Software Engineer, with a primary focus on Python. Advanced knowledge of pytest, including fixtures, session-scoped tests, and timeouts, plus experience designing black-box functional tests for CLI tools. Expertise in Docker, including reproducible Dockerfiles, user contexts, and secure workspace setup. Strong Linux and Bash scripting skills, with the ability to debug inside containers. Familiarity with modern Python tooling (uv, pyproject.toml, packaging). Ability to read and understand code in C, C++, Rust, and Go, with LLM support. Hands-on experience using LLMs (Claude Code, Roo Code, Cursor) to improve development cycles and create test cases. English proficiency at B2 level or above. Preferred Background in agent evaluation platforms or experience with MCP CLI. Tools and technologies Key tools include Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, and Dagger. The role involves reading code in C, C++, Rust, and Go, and working with LLMs such as Claude Code, Roo Code, and Cursor. Additional tools: GitHub Codespaces, coverage.py, gcov, and kcov. Compensation and benefits Freelance, project-based work through Mindrift (powered by Toloka AI). Fully remote with a flexible schedule; set your own contributions (20-30 hours per week). Compensation varies by project. For this project, AI trainers can earn up to $80 per hour. Location: Remote , San Antonio, Texas, United States

Mindrift, part of toloka-ai, seeks a Computer Science Specialist with strong Python experience. This remote role is based in San Antonio, Texas, and centers on supporting artificial intelligence projects. Key responsibilities Collaborate with a diverse team of AI professionals Address technical challenges related to artificial intelligence Apply Python to build and refine AI systems and tools Team environment Mindrift brings together specialists who work remotely to enhance AI capabilities. The team values technical skill, creative thinking, and close collaboration to solve complex problems.

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

Please submit your CV in English and include your English proficiency level. Mindrift offers project-based roles for professionals interested in artificial intelligence. The company works with technology partners to test, evaluate, and improve AI systems. All positions are project-based and do not lead to permanent employment. Role overview The Freelance Legal Advisor (US Bar Admitted) - AI Project Specialist works on a range of assignments focused on AI and legal reasoning. Typical tasks include: Creating prompts that test and challenge AI systems Assessing AI-generated content for accuracy, logical soundness, and potential assumptions Improving AI reasoning to ensure it aligns with established legal standards Using structured criteria to evaluate how AI handles multi-step legal problem-solving Requirements Law degree (Bachelor, J.D., LLM, or FLLM) from an accredited US institution At least 2 years of legal practice experience in the United States Exceptional written English skills (C1/C2 proficiency) Reliable internet connection Who succeeds in this role This position fits legal consultants and attorneys with US law backgrounds who want flexible, part-time project work. Workload and commitment Contributors usually dedicate 10–20 hours per week during active projects. Actual hours may vary based on project needs. Compensation Earnings can reach up to $75 per hour, depending on expertise and task completion speed. Rates vary by project scope, complexity, and required skills. How to apply Apply Pass qualifications Join a project Complete tasks Receive payment

Mindrift connects specialists with project-based opportunities in AI for leading technology companies, emphasizing the testing, evaluation, and enhancement of AI systems. This role is project-based and does not constitute permanent employment.Role OverviewAs a Procurement and Supply Chain Specialist, you will leverage your practical experience to create realistic disruption scenarios, establish expected outcomes and mitigation strategies, and assess the accuracy and relevance of AI-generated recommendations.Key ResponsibilitiesWhile each project presents unique challenges, your contributions may include:Crafting realistic supply chain disruption scenarios (e.g., supplier delays, changes in quantity, logistics challenges, quality failures) based on genuine manufacturing and procurement experiences.Establishing expected outcomes and developing suitable mitigation strategies for each scenario.Evaluating AI-generated responses against practical business logic.Assessing outputs for accuracy, completeness, and relevance within ERP environments, particularly with Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP).Assisting in structured data creation and validation tasks according to established guidelines and frameworks.QualificationsA minimum of 4 years of relevant experience in procurement, supply chain, or purchasing, preferably in a manufacturing setting.Comprehensive knowledge of procurement workflows, including purchase orders, vendor management, inventory, and production planning.Proficiency with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365.Demonstrated capacity to design and analyze supply chain disruption scenarios and corresponding mitigation strategies.Solid understanding of various types of disruptions, including delays, shortages, quality issues, and logistics challenges.Familiarity with Incoterms and transportation/logistics management.Knowledge of BOM structures and production planning processes.Experience using supplier performance metrics (OTIF, lead times, quality scores).Strong analytical skills to evaluate AI outputs against real-world business logic.Prior involvement in data validation, structured data entry, or annotation tasks.Excellent written communication skills in English.Project Operational ProcessSteps to engage: Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.Project Time CommitmentDuring active project phases, tasks are anticipated to require approximately 10-20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $60 per hour, depending on experience and project scope.