Freelance Mathematics Expert - AI Trainer

We invite you to submit your CV in English and indicate your proficiency level in English.At Mindrift, we facilitate connections between specialists and project-based AI opportunities for prominent tech companies. Our focus is on testing, evaluating, and enhancing AI systems. Note: Participation is project-based and does not entail permanent employment.Oppor…

Please submit your CV in English and indicate your English proficiency level. Mindrift offers freelance, project-based work connecting specialists with AI projects for leading technology companies. Most assignments focus on testing, evaluating, and improving AI systems. These roles are not permanent positions but provide flexible, remote opportunities for professionals seeking part-time engagement. Role overview This freelance AI Trainer position centers on materials science and Python programming. Contributors join projects that bring a range of technical challenges, often requiring a blend of engineering knowledge and computational problem-solving skills. Design original materials engineering problems that mirror real-world workflows Create Python programming challenges for engineering calculations and simulations Develop problems that require computational effort, such as numerical methods or iterative solutions Build scenarios in system design, optimization, and analysis Base challenges on real research or practical engineering applications Validate solutions in Python using standard engineering libraries Document problems clearly and supply verified, correct answers Requirements Degree in Material Science or a related field Proficiency in Python for numerical validation; experience with tools like MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or Stata is a plus Minimum two years of professional experience (applied, research, or teaching) Solid understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) Project workflow Application Qualification pass Project engagement Task completion Compensation Time commitment Active project phases typically require 10–20 hours per week. Actual workload varies based on project needs. Compensation Earnings can reach up to $45 per hour, depending on contribution and pace. Rates differ by project and reflect scope, complexity, and required expertise. Other Mindrift projects may offer different compensation structures. Location This is a remote contract role. Applicants based in Stuttgart, Baden-Württemberg, Germany are encouraged to apply, though the position is open to candidates in other locations as well.

We invite you to submit your CV in English, detailing your English proficiency level.Mindrift is a dynamic platform that connects skilled professionals with project-based AI opportunities at top tech companies, emphasizing the assessment, evaluation, and enhancement of AI systems. Please note that this role is project-based and does not offer permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be required to:Devise innovative computational physics problems that replicate real-world physics research workflows;Generate problems that necessitate Python programming for resolution (utilizing Numpy, SciPy, Sympy);Ensure that problems are computationally demanding and cannot be resolved manually within practical timeframes (days/weeks);Create problems involving substantial reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on authentic research challenges or practical scenarios from the field of physics;Validate solutions via Python using standard physics simulation libraries;Clearly document problem statements and provide verified solutions.Preferred QualificationsThis opportunity is ideal for individuals with a background in physics and Python programming, who are interested in part-time, non-permanent projects. The ideal candidate should possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries considered equivalent;A minimum of 2 years of relevant professional experience: applicable experience includes applied research or teaching;Expertise in numerical simulation techniques;The ability to craft problems that reflect real physics research workflows;Creative problem-solving skills across various domains of physics;Strong written English skills (C1+).How to Get StartedInterested candidates should apply, pass the qualifications, join a project, complete the tasks, and receive payment.Project CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, subject to project requirements. This is an estimate and not a guaranteed workload, applicable only while the project is ongoing.CompensationContributors can earn up to $45 per hour, depending on their experience and contribution pace. Please note that compensation may vary across projects based on scope, complexity, and required expertise.

We kindly request that you submit your CV in English and specify your English proficiency level.Mindrift fosters connections between specialists and project-based AI opportunities with leading tech firms, concentrating on the testing, evaluation, and enhancement of AI systems. Note: Participation is based on project work, not permanent employment.Overview of the OpportunityEach project presents unique challenges, and contributors may be involved in:Crafting original computational physics problems that reflect authentic physics research workflows;Developing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring that problems are computationally demanding and cannot be resolved manually within a reasonable timeframe (days/weeks);Creating challenges that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on actual research hurdles or practical applications from the field of physics;Validating solutions using Python with established physics simulation libraries;Clearly documenting problem statements and providing verified correct solutions.Desired QualificationsThis position is ideal for physicists experienced in Python who are open to part-time, temporary projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or familiarity with any programming language is acceptable;A minimum of 2 years of professional experience, which may include applied, research, or teaching experience;Familiarity with numerical simulation techniques;The capability to design problems that replicate genuine physics research workflows;Creative problem-solving skills across various physics disciplines;An understanding of physics modeling and approximation methods;Strong command of written English (C1+).Process OverviewApply → Pass qualification criteria → Join a project → Complete tasks → Receive paymentProject Time CommitmentFor this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, based on project needs. This is an estimate and not a guaranteed workload, applicable only while the project is active.CompensationOn this project, contributors may earn up to $45 per hour, contingent on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skills. Please be aware that other projects on the platform may offer different compensation levels based on their specific requirements.

Please submit your CV in English and indicate your English proficiency level.Mindrift is dedicated to connecting skilled professionals with project-based AI opportunities at leading technology firms, emphasizing the evaluation, testing, and enhancement of AI systems. Engagements are project-based and not permanent positions.About This OpportunityParticipants will engage in various project-specific tasks, which may include:Formulating innovative materials engineering problems that mirror actual engineering workflows;Crafting challenges that necessitate Python programming for solving engineering calculations and simulations;Designing problems that are computationally demanding, requiring numerical methods or iterative approaches;Creating tasks related to system design, optimization, and analysis;Grounding problems in genuine research challenges or practical engineering applications;Validating solutions through Python using standard engineering libraries;Clearly documenting problem statements and providing verified accurate answers.Ideal Candidate ProfileThis role is ideal for materials scientists and engineers with Python experience, seeking part-time, non-permanent project engagements. Preferred qualifications include:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching backgrounds;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+).How It WorksApplication → Qualification Assessment → Project Participation → Task Completion → CompensationProject CommitmentTasks for this project are projected to take approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $45 per hour, depending on their contribution level and pace. Compensation varies across projects in accordance with their scope, complexity, and required expertise. Note that other projects on the platform may offer different earning potentials based on their specific requirements.

Toloka AI is looking for a Freelance AI Trainer with a strong background in biology and Python programming. This remote role is based in Stuttgart, Baden-Württemberg, Germany. Role overview This position centers on using knowledge of biological sciences and Python to support the development and improvement of AI training programs. The work involves applying subject matter expertise to help shape AI solutions in the life sciences. What you will do Apply biology and programming skills to design and refine AI training materials Contribute to projects that advance AI applications in scientific fields Requirements Expertise in biology Proficiency in Python Interest in AI development

Please submit your CV in English and indicate your level of English proficiency. toloka-ai, through Mindrift, offers project-based roles for specialists interested in AI system development and evaluation. This freelance position focuses on mathematics and Python, and is not a permanent role. Role overview As a Mathematics & Python Specialist - Freelance AI Trainer, each project centers on developing and validating computational mathematics problems. Tasks vary by project and may include: Designing original computational mathematics problems that reflect real research workflows Creating problems requiring Python programming solutions, often using libraries such as Numpy, SciPy, or Sympy Ensuring problems are computationally intensive, taking days or weeks to solve manually Formulating challenges involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Basing problems on real research scenarios or practical mathematical applications Verifying solutions in Python with standard mathematical libraries Documenting problem statements clearly and providing validated answers 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, specialized libraries, Stata, or other programming languages is also valued At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to create problems simulating real mathematical research workflows Familiarity with computational complexity theory Strong written English skills (C1+ level) Project workflow The process includes: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation. Time commitment Projects may require around 10–20 hours of work per week during active phases. Actual workload depends on project needs and is not guaranteed. Compensation Contributors can earn up to $45 per hour, depending on experience and pace. Compensation varies by project scope, complexity, and expertise required. Other projects on the platform may offer different rates based on their specific requirements.

Please submit your CV in English and indicate your level of English proficiency.Mindrift specializes in bridging the gap between skilled professionals and project-based opportunities in artificial intelligence for top technology firms. Our focus is on the testing, evaluation, and enhancement of AI systems. This is a project-based engagement, not permanent employment.What You Will DoEach project offers distinct challenges, and contributors may:Design innovative computational engineering scenarios that replicate actual engineering workflows;Create challenges that necessitate Python programming to address engineering calculations and simulations;Ensure that tasks are computationally demanding, requiring numerical techniques or iterative methods;Develop problems centered around system design, optimization, and analysis;Base challenges on realistic research dilemmas or practical engineering applications;Validate solutions using Python along with standardized engineering libraries;Thoroughly document problem statements and provide verified correct solutions.What We SeekThis role is ideal for engineers with Python experience interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is acceptable;A minimum of 2 years of professional experience, whether applied, research, or teaching;An understanding of practical engineering limitations and approximations;Strong command of written English (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How It WorksApply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time ExpectationsThe estimated commitment for this project is around 10–20 hours per week during active phases, based on project demands. This is an estimate, not a guaranteed workload, and only applies while the project is in progress.CompensationContributors can earn up to $50 per hour, depending on their expertise and contribution pace. Compensation variations exist across projects based on their scope, complexity, and needed skills. Note that other projects on our platform may present different earning opportunities based on specific requirements.

Please submit your CV in English and specify your English language proficiency. Mindrift offers project-based roles for professionals interested in supporting AI development at major technology companies. These freelance opportunities focus on testing, evaluating, and improving AI systems. Participation is temporary and does not constitute full-time employment. Role overview This freelance position centers on creating and validating computational chemistry problems that reflect real-world research tasks. Contributors design challenges that require Python programming, often using libraries such as NumPy, SciPy, or specialized chemistry packages. Problems should be computationally intensive, requiring more than manual calculation, and may involve areas like physical chemistry, quantum chemistry, or molecular modeling. Tasks also include documenting problem statements and providing accurate, verified solutions using established computational chemistry methods. Requirements Degree in Chemistry or a closely related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or similar tools is also welcome At least 2 years of professional experience in applied, research, or teaching roles Experience applying numerical methods in chemistry Understanding of computational chemistry concepts and practices Strong English writing skills at C1 level or higher Project workload Active project phases typically require around 10–20 hours per week. Actual workload may vary depending on the specific project and its requirements. This estimate applies only during active project periods and is not a guaranteed minimum or maximum. Compensation Earnings can reach up to $45 per hour, depending on expertise and pace. Compensation varies by project scope, complexity, and required qualifications. Other projects on the Mindrift platform may offer different rates based on their needs. Application process Submit your application Complete qualification steps Join a project Carry out assigned tasks Receive compensation

Please submit your CV in English and specify your English proficiency level. Mindrift, in partnership with toloka-ai, offers project-based freelance work for experienced data scientists. This role centers on testing, evaluating, and enhancing AI systems for leading technology companies. All assignments are project-based, not permanent employment. Key Responsibilities Design original data science challenges that reflect analytical work from sectors like telecom, finance, government, e-commerce, and healthcare. Create tasks requiring advanced Python programming, using libraries such as Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn. Develop problems that require significant computational effort, making manual solutions impractical. Formulate scenarios involving complex data processing, statistical analysis, feature engineering, predictive modeling, and extracting business insights. Ensure each challenge is deterministic and reproducible, using fixed random seeds when needed. Base tasks on real business needs, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Build end-to-end challenges covering the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include scenarios that require scalable computational methods for large datasets. Validate solutions in Python using standard data science libraries and statistical techniques. Write clear documentation for each problem, providing business context and verified solutions. Requirements Minimum 5 years of hands-on data science experience with measurable business outcomes. Portfolio of completed projects or publications showing real-world problem-solving. Advanced Python programming skills for data science (pandas, numpy, scipy, scikit-learn, statsmodels). Expertise in statistical analysis and machine learning, with strong knowledge of algorithms and methodologies. Proficient SQL skills for data analysis and manipulation. Familiarity with GenAI technologies, including LLMs, RAG, prompt engineering, and vector databases. Understanding of MLOps and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Strong written English skills at C1 level or higher. How to Get Started Apply Complete qualification(s) Join a project Finish assigned tasks Receive compensation Location: Remote , Stuttgart, Baden-Württemberg, Germany

Toloka AI is looking for a freelance AI Trainer who combines civil engineering expertise with strong Python programming skills. This role is remote, with a focus on projects based in Stuttgart, Baden-Württemberg, Germany. Role overview This position centers on using civil engineering knowledge alongside Python to help shape AI systems. The work involves both technical input and collaboration with others on the team. What you will do Use civil engineering experience and Python programming to contribute to AI system development Work with colleagues to enhance and fine-tune artificial intelligence projects Offer training and technical support for ongoing AI efforts Location This is a remote freelance role, connected to Stuttgart, Baden-Württemberg, Germany.

We invite you to submit your CV in English, including your level of English proficiency.Mindrift specializes in connecting talented professionals with project-based opportunities in artificial intelligence for top technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Role OverviewAs an Optical Engineer, your contributions will vary by project, but may include: Designing original computational physics problems that simulate authentic physics research workflows;Creating challenges requiring Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that problems are computationally intensive, requiring days or weeks to solve manually;Developing intricate reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding challenges in real research issues or practical applications within physics;Verifying solutions using Python alongside standard physics simulation libraries;Providing clearly documented problem statements and verified correct answers.QualificationsThis role is perfect for Optical Engineers with Python expertise seeking part-time, non-permanent projects. Ideal candidates will possess: A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries;A minimum of 2 years of professional experience, including applied, research, or teaching roles;Experience with numerical simulation techniques;Capability to design problems that closely reflect real physics research workflows;Innovative problem-solving skills across various physics domains;Knowledge of physics modeling and approximation techniques;Strong command of written English (C1+ level).Application ProcessTo get started, apply → pass qualifications → join a project → complete tasks → receive payment.Project CommitmentTasks for this project are estimated to require approximately 10–20 hours per week during active project phases, subject to project demands. This is an estimate and not a guaranteed workload.CompensationContributors may earn up to $45 per hour, depending on individual levels of contribution and project needs. Please be aware that compensation may vary by project scope, complexity, and required expertise.

We kindly request that you submit your CV in English, along with a clear indication of your English language proficiency.Mindrift connects talented specialists with project-based AI opportunities from leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Role OverviewEach project presents its own unique challenges, and contributors may be expected to:Craft innovative computational engineering problems that replicate real-world engineering workflows;Develop problems that necessitate Python programming for solving engineering calculations and simulations;Ensure problems are computationally intensive and utilize numerical methods or iterative solutions;Create problems related to system design, optimization, and analysis;Base problems on genuine research challenges or practical applications within engineering;Validate solutions using Python and standard engineering libraries;Clearly document problem statements and provide verified correct answers.Desired QualificationsThis role is ideal for engineers with experience in Python who are open to part-time, non-permanent projects. Ideally, candidates will possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or any comparable programming language is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching experience;Understanding of practical engineering limitations 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 the Process WorksApply → Successfully pass qualification(s) → Engage in a project → Complete assigned tasks → Receive payment.Project Time ExpectationsFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project demands. This is an estimate and does not guarantee a specific workload, applicable only while the project is ongoing.CompensationContributors may earn up to $50 per hour, contingent on their expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skill set. Note that other projects on the platform may offer different earning potentials based on their specific requirements.

We invite you to submit your CV in English, highlighting your proficiency in the language.Mindrift serves as a bridge connecting experts with project-specific AI roles for top-tier tech firms, concentrating on the evaluation, testing, and enhancement of AI systems. Note: This is a project-based opportunity and not a permanent position.Project OverviewEach project presents unique challenges, including:Designing innovative computational physics problems that replicate authentic physics research workflows;Formulating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that problems are computationally demanding and cannot be resolved manually within a reasonable timeframe (days/weeks);Creating problems that involve complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in genuine research challenges or practical applications within the field of physics;Validating solutions using Python in conjunction with established physics simulation libraries;Clearly documenting problem statements and providing verified correct solutions.Qualifications We SeekThis role is ideally suited for quantum researchers experienced in Python and open to part-time, non-permanent projects. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation. Equivalent experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is acceptable;Over 2 years of relevant professional experience, including applied research or teaching;Expertise in numerical simulation methods;The capability to design problems that reflect real-world physics research workflows;Creativity in problem design across various physics domains;Familiarity with physics modeling and approximation techniques;Strong command of written English (C1+ level).Application ProcessApply → Pass qualifications → Engage in a project → Complete tasks → Receive paymentExpected CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project specifications. This is an estimate and not a guaranteed workload.Compensation DetailsParticipants can earn up to $45 per hour, contingent upon their experience and contribution pace. Compensation may vary by project scope, complexity, and required expertise. Note that other projects may offer different compensation levels based on their specifications.

Toloka AI seeks a Freelance English Writer and AI Trainer to join its remote team. This contract position is open to candidates based in Stuttgart, Baden-Württemberg, Germany, but all work can be completed remotely. Role overview This role centers on supporting AI projects that require strong English writing and language abilities. The work involves both content creation and helping AI systems better understand natural language. What you will do Write and edit English-language content for use in AI training Contribute to projects aimed at improving AI's language understanding Collaborate with the Toloka AI team to achieve project objectives Location Remote work is available. The position is based in Stuttgart, Baden-Württemberg, Germany, but candidates may work from anywhere.

Toloka AI seeks a Freelance Junior Journalist to contribute to AI training projects. This position is remote, based in Stuttgart, Baden-Württemberg, Germany. The main focus is on creating and refining training data that supports the development of artificial intelligence systems. Key responsibilities Research topics in AI and technology to inform project work Write and edit content used in training data sets Curate materials that help AI systems better understand and interact with users Work collaboratively with a distributed team committed to improving AI capabilities Work environment This freelance, remote role involves working alongside colleagues from diverse backgrounds. The team shares a commitment to making AI more effective and accessible.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects specialists with project-based AI work for leading technology companies. The focus is on testing, evaluating, and improving AI systems. This role is project-based and does not offer permanent employment. Role overview The Freelance AI Trainer - Research Physicist collaborates with Mindrift to support AI development by designing and documenting advanced physics problems. Each project introduces new challenges and tasks may include: Creating original optics problems that reflect real-world research workflows Ensuring problems require computational approaches rather than only manual calculations Developing challenges in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing problems on actual research questions or practical scenarios in optics and physics Writing clear problem statements and providing verified solutions Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related discipline Minimum 2 years of experience in applied physics, research, or teaching Familiarity with numerical simulation techniques Ability to design problems that mirror real research processes Creative problem-solving skills across physics topics Knowledge of physics modeling and approximation methods Strong written English skills at C1 level or higher How to apply Apply Pass the qualification process Join a project Complete assigned tasks Receive compensation Time commitment Project periods typically require a commitment of 10 to 20 hours per week. Actual hours may vary depending on project needs. This estimate does not guarantee a specific workload. Compensation Earnings can reach up to $45 per hour, depending on expertise and contribution speed. Compensation varies by project based on scope, complexity, and required skills. Other projects on the Mindrift platform may offer different rates depending on requirements. Location: Remote , Stuttgart, Baden-Württemberg, Germany

This freelance, remote role is open to candidates based in Stuttgart, Baden-Württemberg, Germany. Toloka connects skilled individuals with online projects that support artificial intelligence development. Annotators and trainers contribute to generative AI projects for leading technology companies, helping improve the quality and accuracy of AI systems. Role overview Freelance AI Trainers and Annotators (English) play a key part in evaluating and labeling data for AI training. Assignments may include reviewing AI-generated content, checking for factual accuracy, or comparing different responses. The types of tasks available will change according to current project needs and your profile. What you will do Review and assess data, including text, images, and videos Label or categorize content following specific project guidelines Identify and report materials that are factually incorrect, sensitive, inappropriate, or unclear Project details This is a project-based freelance position. Tasks are assigned when projects are active. Participation depends on your profile and current opportunities available through Toloka. Compensation Compensation varies by project. AI trainers can earn up to $22 per hour. How to apply Submit your resume in English and include your English proficiency level.

Mindrift offers project-based roles for experienced supply chain professionals interested in AI training. This freelance position connects specialists with AI projects for leading technology companies. The work is remote and based in Stuttgart, Baden-Württemberg, Germany. This is not a long-term employment role; instead, it focuses on short-term, targeted contributions to specific AI initiatives. Role overview This role centers on creating and evaluating realistic supply chain disruption scenarios, drawing on practical experience in manufacturing and procurement. Tasks include outlining possible disruptions such as supplier delays, order changes, logistics challenges, or quality failures. For each scenario, you will define expected outcomes and propose effective mitigation strategies. Another key part of the job involves assessing AI-generated responses. You will check these outputs for accuracy, completeness, and practical relevance to real business situations, especially within ERP systems like Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP). Structured data creation and validation are also part of the responsibilities, following detailed guidelines. Requirements Minimum 4 years of experience in procurement, supply chain management, or purchasing (preferably in manufacturing) Strong knowledge of procurement workflows: purchase orders, vendor management, inventory control, and production planning Hands-on experience with ERP platforms such as SAP, Oracle, or Microsoft Dynamics 365 Ability to design and justify disruption scenarios and mitigation strategies Understanding of disruption types: delays, shortages, quality issues, and logistics challenges Familiarity with Incoterms and logistics management Knowledge of Bill of Materials (BOM) structures and production planning methods Experience with supplier performance metrics (On-Time In-Full, lead times, quality scores) Analytical skills to evaluate AI outputs against business logic Background in data validation, structured data entry, or annotation Clear written communication in English How to join Apply Pass qualifying assessments Join a project Complete assigned tasks Receive payment Project commitment During active project phases, work typically ranges from 10 to 20 hours per week. Actual hours may vary depending on project needs and are not guaranteed. Compensation Contributors may earn up to $60 per hour, based on expertise and project contributions.