Freelance AI Trainer - Data Annotation Specialist

Kindly submit your CV in English, specifying your English proficiency level.Mindrift specializes in connecting talented experts with dynamic, project-based AI opportunities within leading tech organizations, focusing on the assessment, evaluation, and enhancement of AI systems. Please note that participation is project-based and not a permanent employment po…

We invite you to submit your CV in English, highlighting your English proficiency level.At Mindrift, we specialize in connecting talented professionals with project-based AI opportunities within leading technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Opportunity OverviewEach project presents distinct challenges, and contributors may be tasked with:Designing innovative material engineering problems that replicate real-world engineering workflows;Creating problems that necessitate Python programming for engineering calculations and simulations;Ensuring that problems are computationally intensive, incorporating numerical methods or iterative solutions;Developing challenges related to system design, optimization, and analysis;Formulating problems based on genuine research challenges or practical engineering applications;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis opportunity is ideal for material scientists and engineers with Python expertise who are open to part-time, non-permanent projects. Preferred candidates will possess:A degree in Material Science or a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any other programming language considered equivalent;At least 2 years of professional experience, which may include applied work, research, or teaching;A solid understanding of practical engineering constraints and approximations;Strong written communication skills in English (C1+ level).Project WorkflowApplication → Qualification Process → Project Engagement → Task Completion → PaymentProject Time CommitmentDuring the active phases of projects, tasks are estimated to require approximately 10–20 hours per week, based on specific project needs. This estimate is not a guaranteed workload and is applicable only while the project is active.Compensation StructureContributors on this project have the potential to earn up to $35 per hour, contingent on their contribution level and pace. Compensation may vary across projects based on scope, complexity, and required expertise. Please be aware that other projects on our platform may offer different earning potentials.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI work for leading technology companies. The platform focuses on testing, evaluating, and improving AI systems. All roles are flexible and non-permanent. Role overview This freelance position centers on applying material science expertise and Python skills to help train and evaluate AI systems. Projects change over time, but the core work involves creating and validating engineering problems that reflect real-world scenarios. What you will do Design original materials that reflect authentic engineering challenges Create programming problems using Python for calculations and simulations Ensure tasks require computational work, numerical methods, or iterative solutions Develop projects focused on system design, optimization, and analysis Base problems on real research issues or practical engineering situations Verify solutions using Python and standard engineering libraries Document problem statements clearly and provide validated solutions Requirements Degree in Material Science or a closely related field Strong Python skills for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus At least 2 years of relevant experience, including applied research or teaching Understanding of practical engineering constraints and approximations Excellent written English at C1 level or higher How to get started Apply Pass qualification(s) Join a project Complete tasks Get compensated Project commitment During active project phases, tasks usually require 10–20 hours per week. Actual workload may vary depending on project needs. Compensation Contributors can earn up to $35 per hour, depending on the nature and complexity of the project. Pay varies by project scope.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled specialists with project-based AI initiatives for leading tech companies. The focus is on testing, evaluating, and improving AI systems. This is a project-based freelance role, not a permanent position. What you will do Create original computational mathematics problems that reflect real mathematical research methods. Develop problems that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy. Ensure problems are computationally intensive and cannot be solved manually within days or weeks. Design challenges involving advanced reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis. Base problems on genuine research questions or practical mathematical applications. Validate solutions in Python with established mathematical libraries. Document each problem clearly, providing both the statement and a verified solution. Requirements Degree in Mathematics (Pure or Applied) or a closely related field. Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or Stata, or knowledge of another programming language is also acceptable. At least 2 years of professional experience, which may include research, teaching, or applied work. Familiarity with numerical methods and symbolic computation. Ability to design problems that mirror authentic mathematical research workflows. Understanding of computational complexity theory. Strong written English skills at C1 level or higher. Application process The process includes: Apply → Complete qualifications → Join a project → Execute tasks → Receive payment. Project commitment During active phases, tasks are expected to require approximately 10–20 hours per week. This estimate depends on project needs and is not a guaranteed workload. Compensation Contributors may earn up to $35 per hour, depending on expertise and pace. Actual compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different earning potential based on their requirements.

Toloka AI is seeking a freelance specialist with strong expertise in biology and Python programming. This remote role, based in Israel, centers on supporting AI training efforts with hands-on subject matter knowledge. Role overview This position involves developing training materials that help improve artificial intelligence systems, with a focus on biological data. The work includes designing content, guiding AI models, and ensuring accurate interpretation of complex biological information. What you will do Create clear and effective training content for AI models in the biology domain Facilitate learning experiences that connect biological concepts with Python programming Guide AI systems to better understand and process biological data Requirements Expertise in biology Strong programming skills in Python Ability to explain biological concepts and coding techniques clearly

Please submit your CV in English and indicate your level of English proficiency. toloka-ai, working with Mindrift, offers project-based freelance roles for professionals supporting AI development. This contract position centers on improving, evaluating, and testing AI systems. Note that this is not a permanent employment role, but a project-based contract. Role overview The Freelance Research Physicist - AI Systems Trainer helps shape AI capabilities by designing and evaluating complex physics challenges. Tasks span several areas of advanced physics and require both creativity and technical depth. Design original optical problems reflecting real-world research methods Develop computationally intensive challenges beyond manual calculation Create problems involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base challenges on actual research questions or practical applications in optics and physics Document problem statements clearly and provide verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field Minimum 2 years of experience in applied physics, research, or academic roles Proficiency with numerical simulation techniques Ability to design problems that mirror authentic research workflows Creative approach to problem design across multiple physics disciplines Familiarity with modeling and approximation methods in physics Excellent written English (C1 level or above) Project process The typical workflow includes: Apply, pass qualifications, join a project, complete assigned tasks, and receive compensation. Time commitment Plan for 10–20 hours per week during active project phases. Actual workload may shift based on project needs. Compensation Earnings can reach up to $35 per hour, depending on expertise and pace. Rates may vary by project, reflecting scope, complexity, and required skills. Some projects may offer different compensation.

Please submit your CV in English and indicate your level of English proficiency.Mindrift connects talented specialists with project-based opportunities in artificial intelligence for leading technology firms, emphasizing the testing, evaluation, and enhancement of AI systems. Please note that participation in projects is temporary and not a permanent position.Role Overview:Each project presents distinct tasks, where contributors may:Design innovative computational statistics challenges that reflect authentic mathematical research processes;Develop problems that necessitate Python programming to resolve (utilizing libraries such as Numpy, SciPy, Sympy);Ensure challenges are computationally demanding and cannot be addressed manually within practical timeframes (spanning days/weeks);Construct problems that require complex reasoning in domains such as number theory, combinatorics, graph theory, and numerical analysis;Base challenges on genuine research dilemmas or applicable scenarios from mathematical practices;Validate solutions using Python and standard mathematical libraries;Clearly document problem statements and provide verified correct solutions.Ideal Candidate Profile:This opportunity is suited for statistics professionals with Python expertise who are interested in part-time, non-permanent projects. Preferred qualifications include: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 can also be considered;A minimum of 2 years of professional experience in applied, research, or teaching capacities;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are beneficial.Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject Time Expectations:Tasks are anticipated to require approximately 10–20 hours per week during active project phases, depending on specific project needs. This is an estimate and not a guaranteed workload, applicable only while the project is active.Compensation:Contributors can earn up to $39 per hour, contingent upon their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Please be aware that other projects on the platform may offer different earning potential based on their requirements.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift is an innovative platform that connects talented specialists with project-based AI opportunities at leading technology companies, focused on testing, assessing, and enhancing AI systems. This is a project-based role, not a permanent position.Role OverviewAs a contributor, you will engage in various unique projects, which may include:Creating original computational physics problems that reflect genuine physics research workflows;Developing Python-based problems to solve using libraries such as Numpy, SciPy, and Sympy;Ensuring that problems are computationally intensive enough to require significant time for solution (days to weeks) rather than manual resolution;Designing challenges that necessitate complex reasoning across topics like mechanics, electromagnetism, thermodynamics, and quantum mechanics;Using real-world research challenges or practical physics applications as the basis for problem design;Validating solutions through Python using established physics simulation libraries;Providing clear documentation of problem statements along with accurate solutions.Preferred QualificationsWe are looking for individuals with a background in physics who possess experience in Python and are open to part-time, non-permanent roles. The ideal candidates will have:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also acceptable;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience with numerical simulation methodologies;The ability to craft problems that accurately represent real physics research workflows;Creative problem-solving skills that span various physics fields;A solid understanding of physics modeling and approximation techniques;Excellent written English skills (C1+ level).Application ProcessTo apply, please submit your application, pass the necessary qualifications, join a project, complete the assigned tasks, and receive payment.Project CommitmentActive phases of projects are expected to require around 10–20 hours of work per week, based on specific project needs. This is an estimation and not a guaranteed workload.Compensation DetailsParticipants can earn up to $35 per hour, depending on their contribution level and pace. Compensation may vary by project based on its scope, complexity, and the expertise required.

Role overview Toloka AI seeks a freelance AI trainer with expertise in civil engineering and strong Python programming skills. This position is fully remote and available to candidates based in Israel. What you will do Use civil engineering knowledge and Python to contribute to the training and improvement of AI models. Work closely with Toloka AI's team to assist in developing advanced AI systems. Location This is a remote role for candidates residing in Israel.

We invite you to submit your CV in English, including your proficiency level in the language.Mindrift is a dynamic platform that bridges skilled professionals with project-based AI opportunities from leading technology firms, focusing on the critical tasks of testing, evaluating, and enhancing AI systems. Please note that participation is on a project basis and does not constitute permanent employment.Project Responsibilities:Each project features unique tasks, and contributors may be involved in:Crafting innovative computational engineering problems that replicate authentic engineering workflows;Formulating challenges that necessitate Python programming for engineering calculations and simulations;Ensuring the tasks are computationally demanding and require numerical methods or iterative solutions;Creating problems centered around system design, optimization, and analytical processes;Developing tasks based on real-world research challenges or practical applications within engineering;Validating solutions using Python and standard engineering libraries;Providing clear documentation for problem statements along with verified correct solutions.Ideal Candidate Profile:This role is suited for engineers with Python expertise who are open to part-time, non-permanent projects. The preferred qualifications include:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries will also be considered;A minimum of 2 years of professional experience in applied, research, or teaching contexts;A solid grasp of practical engineering constraints and approximations;Exceptional written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.Project Engagement Process:1. Apply → 2. Pass qualification(s) → 3. Join a project → 4. Complete tasks → 5. Receive compensationTime Commitment:During active phases, tasks are expected to require approximately 10–20 hours per week, based on the project demands. This is an estimated range and may vary according to project activity.Compensation:Contributors can earn up to $37 per hour, depending on their experience level and contribution speed. Compensation may vary across different projects based on their specific scope, complexity, and expertise requirements.

We invite you to submit your CV in English, detailing your proficiency in the language.Mindrift is a dynamic platform that connects exceptional professionals with project-based AI opportunities at prestigious technology firms, emphasizing the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not entail permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be tasked with:Crafting original computational engineering problems that replicate authentic engineering workflows;Designing problems that necessitate Python programming for engineering calculations and simulations;Ensuring that problems are computationally intensive and require numerical methods or iterative solutions;Creating problems focused on system design, optimization, and analysis;Using real research questions or practical engineering applications as the foundation for problems;Validating solutions through Python using standard engineering libraries;Clearly documenting problem statements with verified accurate answers.Ideal Candidate ProfileThis role is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. Candidates should ideally possess:A degree in Mechanical Engineering or related fields;Proficiency in Python for numerical validation, with knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other relevant programming languages as alternatives;A minimum of 2 years of professional experience, including applied, research, or teaching experience;A solid understanding of practical engineering constraints and approximations;Strong command of written English (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects are considered advantageous.How It WorksApplication → Qualification Process → Project Engagement → Task Completion → CompensationProject Time ExpectationsFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload, applicable only during the active project period.CompensationParticipants can earn up to $37 per hour, contingent on their experience and contribution pace. Please note that compensation may vary across different projects based on scope, complexity, and required expertise.

We invite you to submit your CV in English, including your proficiency level in the language.Mindrift specializes in connecting skilled professionals with project-based AI roles at top-tier tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Note: This is a project-based engagement and not a full-time position.Opportunity Overview:While each project presents distinct challenges, contributors may be involved in:Crafting original computational physics problems that emulate authentic research workflows;Developing tasks that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring that problems are computationally demanding, taking days or weeks to solve manually;Creating scenarios that require complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Designing problems based on real-world research challenges or practical applications in physics;Validating solutions through Python using established physics simulation libraries;Providing clear documentation of problem statements along with verified solutions.Candidate Profile:This role is ideal for physicists with Python experience who are interested in flexible, 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 validations, with experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or any equivalent programming language;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience in numerical simulation techniques;A talent for designing problems that reflect real physics research processes;Innovative thinking in problem creation spanning various physics domains;Familiarity with modeling and approximation methodologies;Exceptional written English skills (C1+ level).Project Workflow:Apply → Pass qualifications → Engage in a project → Complete assigned tasks → Receive compensationProject Commitment:During active phases, tasks are projected to require approximately 10–20 hours per week, contingent on project demands. This is an estimate and not a guaranteed workload during the project duration.Compensation:Contributors can earn up to $35 per hour, dependent on their experience level and contribution speed. Compensation varies by project based on scope, complexity, and expertise required. Please note that other projects on the platform may have differing pay scales based on their specific requirements.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift serves as a bridge between talented specialists and project-based AI opportunities with top technology firms, aimed at testing, assessing, and enhancing AI systems. This is a project-based role, not a permanent position.Key ResponsibilitiesWhile each project features distinct tasks, contributors may:Craft original computational physics challenges that replicate authentic research workflows;Develop Python-based problems (utilizing Numpy, SciPy, Sympy) for problem-solving;Ensure that tasks are computationally demanding and cannot be manually solved in a reasonable timeframe (spanning days or weeks);Formulate problems that require complex reasoning in physics domains such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base challenges on genuine research issues or practical applications found in physical sciences;Validate solutions using Python along with standard physics simulation libraries;Thoroughly document problem statements and provide verified solutions.QualificationsThis role is ideal for optical engineers proficient in Python who are open to part-time, non-permanent projects. Preferred candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Strong Python skills for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also beneficial;A minimum of 2 years of professional experience in applied work, research, or teaching;Experience with numerical simulation techniques;The capability to design problems that reflect real-world physics research processes;Innovative thinking in problem design spanning various physics fields;Knowledge of physics modeling and approximation strategies;Exceptional written English skills (C1+).Application ProcessApply → Meet qualifications → Join a project → Complete assigned tasks → Receive paymentTime CommitmentFor this project, contributors can expect to dedicate approximately 10–20 hours per week during active project phases. This estimate is subject to project requirements and is not guaranteed.CompensationContributors can earn up to $35 per hour, contingent upon their expertise and contribution pace. Compensation varies among projects based on scope, complexity, and required skills. Be aware that different projects may offer varying compensation levels.

We invite you to submit your CV in English and specify your level of English proficiency.At Mindrift, we specialize in connecting talented professionals with project-based opportunities in artificial intelligence for leading technology firms. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based role rather than a permanent position.Opportunity Overview:Each project you participate in will involve distinct tasks, which may include:Creating original optics problems that effectively simulate real-life physics research workflows;Ensuring that these problems are computationally intensive, requiring advanced solutions that cannot be resolved manually within practical time limits (days/weeks);Designing challenges that demand complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in authentic research challenges or practical applications from the fields of optics and physics;Clearly documenting problem statements and providing verified accurate solutions.Candidate Profile:This opportunity is ideal for optical engineers who are interested in flexible, non-permanent projects. We are looking for candidates who possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;At least 2 years of professional experience, which can include applied work, research, or teaching;Proficiency in numerical simulation methods;The ability to craft problems that reflect real-world physics research workflows;Creative problem-solving skills across various physics disciplines;Familiarity with physics modeling and approximation techniques;Strong written English skills (C1+ level).How the Process Works:Apply → Pass required qualifications → Join a project → Complete assigned tasks → Receive payment.Project Time Expectations:During active phases, tasks are anticipated to require approximately 10–20 hours per week, based on project specifications. Please note that this is an estimate and does not guarantee a fixed workload.Compensation:Contributors can earn up to $35 per hour, depending on their contribution level and pace. Compensation may vary by project based on scope, complexity, and required expertise. Other projects on our platform may offer different compensation levels based on their specific requirements.

Toloka AI seeks a Freelance English Writer - AI Trainer for a remote contract role based in Israel. This position centers on developing and refining written materials that support the training of AI language systems. Responsibilities Create and edit English-language content designed for AI training tasks Select and organize examples and prompts to help AI models better interpret natural human communication Review and improve AI-generated text to ensure it reads naturally and accurately Location This is a remote role. Candidates may work from home anywhere within Israel.

Toloka AI seeks a Freelance Junior Journalist - AI Trainer to join projects that blend journalism with artificial intelligence. This remote position is open to candidates located in Israel. The work centers on creating and refining content, always with attention to accuracy and relevance for real-world news and stories. Key responsibilities Take part in projects that use AI to generate and improve written content Support the training of AI systems to better understand and apply journalistic standards Adapt to a range of topics and formats, adjusting your approach based on each project's needs Location This role is fully remote but requires residency in Israel.

Submit your CV in English and specify your English proficiency level. Mindrift offers project-based freelance roles for professionals interested in AI education. This remote position, open to candidates based in Israel, focuses on creating and validating computational chemistry problems for AI system evaluation. Engagements are project-based rather than permanent employment. What you will do Design computational chemistry problems that reflect real-world research workflows. Develop problem sets requiring Python programming for solutions, using libraries such as numpy, scipy, and chemistry-specific packages. Ensure problems are computation-intensive and not easily solvable by hand within a reasonable timeframe. Create tasks involving advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling. Base scenarios on authentic research challenges or practical chemistry applications. Validate solutions in Python, applying established computational chemistry methods. Document problems clearly and provide accurate, verified solutions. Requirements Degree in Chemistry 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 acceptable. At least 2 years of relevant experience (applied, research, or teaching). Familiarity with numerical methods in chemistry and computational chemistry concepts. Strong written English skills at C1 level or above. How projects work The process includes application, passing qualifications, joining a project, completing assigned tasks, and receiving payment. Time commitment During active project phases, expect approximately 10–20 hours of work per week, depending on project needs. Actual workload may vary. Compensation Earn up to $35 per hour, based on experience and contribution speed. Payment depends on project scope, complexity, and expertise required. Other projects on the platform may offer different rates.

Please submit your CV in English and indicate your English proficiency level. Role overview toloka-ai, working with Mindrift, brings together professionals for project-based AI assignments with major technology companies. This freelance optical engineer position centers on evaluating and improving AI systems. The role is not permanent and is structured around specific projects. What you will do Create original optics problems that reflect real-world research workflows in physics. Design computationally demanding problems that cannot be solved manually in a short timeframe. Develop scenarios requiring advanced reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base problem sets on authentic research challenges or practical applications in optics and physics. Write clear problem statements and provide verified solutions. Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a closely related field Minimum of 2 years of professional experience (applied, research, or teaching) Experience using numerical simulation methods Ability to design problems modeled on genuine research workflows Creative thinking across multiple physics domains Understanding of physics modeling and approximation techniques Strong written English skills (C1 level or higher) How to apply Apply Pass qualifications Join a project Complete tasks Get paid Project commitment Active project periods typically involve 10–20 hours of work per week. Workload may fluctuate and is not guaranteed outside these phases. Compensation Earnings can reach up to $35 per hour, depending on experience and task completion rate. Compensation may vary by project based on complexity, scope, and required expertise. Other projects on the platform may offer different pay rates as needed.

Toloka AI, through its Mindrift platform, offers project-based freelance roles for experienced supply chain professionals. This remote position is open to candidates based in Israel and centers on supporting AI development for major technology companies. As a Freelance Supply Chain Consultant - AI Trainer, the work draws on practical procurement and supply chain knowledge to test, evaluate, and improve AI systems. What you will do Develop realistic supply chain disruption scenarios inspired by real manufacturing and procurement issues, such as supplier delays, quantity changes, logistics complications, and quality failures. Define clear expected outcomes and practical mitigation steps for each scenario. Assess AI-generated recommendations for accuracy and relevance to business operations. Review outputs to ensure they fit within ERP systems, including Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP). Support the creation and validation of structured data following established guidelines. Requirements Minimum 4 years of experience in procurement, supply chain management, or purchasing, ideally within manufacturing. Solid grasp of procurement workflows, including purchase orders, vendor management, inventory control, and production planning. Hands-on experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365. Demonstrated ability to design and analyze supply chain disruption scenarios and craft mitigation strategies. Understanding of disruption types: delays, shortages, quality issues, and logistics challenges. Familiarity with Incoterms and logistics management principles. Experience working with Bill of Materials (BOM) structures and production planning processes. Knowledge of supplier performance metrics, such as OTIF, lead times, and quality scores. Strong analytical skills to assess AI outputs against business logic. Background in data validation, structured data entry, or annotation work. Excellent written English communication skills. How the project works Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment Tasks during active project phases typically require 10 to 20 hours per week. Actual workload may vary and is not guaranteed. Compensation Contributors can earn up to $50 per hour, depending on the specifics of each project.

Mindrift bridges the gap between talented specialists and project-specific AI opportunities with top technology firms, concentrating on the assessment, testing, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Role OverviewAs a Procurement & Supply Chain Consultant, you will leverage your extensive expertise to create authentic disruption scenarios, outline anticipated outcomes and mitigation strategies, and assess AI-generated recommendations for accuracy and business relevance.Key ResponsibilitiesProjects may involve unique tasks such as:Crafting realistic supply chain disruption scenarios (e.g., supplier delays, quantity adjustments, logistical complications, quality failures) based on actual manufacturing and procurement practices.Establishing expected results and effective mitigation strategies for each scenario.Reviewing AI-generated suggestions against practical business logic.Evaluating outputs for precision, thoroughness, and relevance within ERP systems (particularly Microsoft Dynamics 365, Coupa, Jaggaer, Ariba (SAP)).Assisting in structured data creation and validation tasks according to specific guidelines and frameworks.Qualifications RequiredAt least 4 years of practical experience in procurement, supply chain, or purchasing, preferably within a manufacturing setting.In-depth understanding of procurement workflows, including purchase orders, vendor management, inventory, and production planning.Hands-on experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365.Proven ability to develop and analyze supply chain disruption scenarios and corresponding mitigation strategies.Strong comprehension of various types of disruptions: delays, shortages, quality concerns, and logistical challenges.Knowledge of Incoterms and transportation/logistics management.Familiarity with Bill of Materials (BOM) structures and production planning methodologies.Experience in evaluating supplier performance metrics (OTIF, lead times, quality scores).Analytical mindset capable of assessing AI outputs in relation to real-world business logic.Experience with data validation, structured data entry, or annotation tasks.Exceptional written communication skills in English.Process OverviewApplication → Qualification(s) → Project Participation → Task Completion → CompensationProject Time ExpectationsTasks for this project are anticipated 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 during the project duration.CompensationParticipants in this project can earn up to $50 per hour, contingent upon experience and the specific project requirements.