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Qualifications
Ideal candidates will possess:A degree in Civil Engineering or a related field. Proficiency in Python programming. Strong analytical and problem-solving skills. Experience with AI or machine learning concepts is a plus. Excellent communication skills and the ability to work independently.
About the job
Toloka AI seeks a freelance Civil Engineer with advanced Python skills to assist in training AI models. This contract position is open to professionals based in Austria and offers the flexibility of remote work.
Role overview
This role combines civil engineering expertise with Python programming to support AI development. Projects require both technical proficiency and domain knowledge, allowing for meaningful contributions to AI training efforts.
What you will do
Use civil engineering background and Python coding to help train and improve AI systems
Work on projects that benefit from both engineering and programming skills
Location
This is a remote role for candidates based in Austria.
About Toloka AI
Toloka AI is a cutting-edge technology company focused on harnessing the power of AI for practical applications. We value innovation, collaboration, and the drive to make a difference in the tech world.
This freelance Data Scientist (Python & SQL) role with toloka-ai is project-based and remote, open to candidates located in Austria. Mindrift connects experienced data science professionals with assignments that focus on evaluating and improving AI systems for major technology companies. Work is assigned per project and is not a permanent position. Key Respo…
Please submit your CV in English and indicate your level of English proficiency.Mindrift is a dynamic platform connecting skilled professionals with project-based AI opportunities in leading tech companies. We focus on testing, evaluating, and enhancing AI systems, providing contributors a chance to work on innovative projects without the commitment of permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be involved in the following:Creating original materials that simulate real-world engineering workflows;Developing engineering problems that require Python programming for calculations and simulations;Ensuring the problems are computationally intensive, necessitating numerical methods or iterative solutions;Designing problems related to system design, optimization, and analysis;Grounding problems in actual research challenges or practical engineering applications;Validating solutions through Python using standard engineering libraries;Clearly documenting problem statements and providing verified solutions.QualificationsWe are seeking material scientists and engineers with Python experience who are interested in part-time, project-based roles. Ideal candidates will possess: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 other programming languages is acceptable;At least 2 years of professional experience, including applied, research, or teaching roles;A strong grasp of practical engineering constraints and approximations;Excellent written English skills (C1+ level).Application ProcessApply → Pass qualification(s) → Join a project → Complete assigned tasks → Receive compensation.Project CommitmentTasks for this project are estimated to require approximately 10-20 hours per week during active phases, depending on project demands. This estimate is not a guaranteed workload and applies only while the project is active.CompensationContributors can earn up to $45 per hour, depending on their level of expertise and contribution speed. Please note that compensation may vary across different projects based on scope, complexity, and required skills.
Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI work for leading technology companies. Projects focus on assessing, evaluating, and improving AI systems. Participation is on a project basis and does not constitute permanent employment. Role overview This freelance, remote position is for a Material Scientist with Python expertise to help train AI systems. Work centers on developing and validating engineering challenges, with projects varying in scope and focus. Contributors may: Create original materials and engineering problems based on real-world workflows Design problems that involve Python programming for calculations and simulations Develop computationally intensive problems requiring numerical methods or iterative solutions Build challenges related to system design, optimization, and analysis Base problems on genuine research questions or practical engineering scenarios Validate solutions using Python and standard engineering libraries Document problem statements with clear, accurate answers Requirements Degree in Material Science or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or domain-specific libraries is also accepted At least 2 years of professional experience (applied, research, or teaching) Strong understanding of practical engineering constraints and approximations Excellent written English (C1 level or above) Project process Apply Pass qualifications Join a project Complete assigned tasks Receive payment Time commitment Active project phases usually require about 10–20 hours per week. Actual workload depends on project needs and is not guaranteed. Compensation Contributors may earn up to $45 per hour, depending on expertise and task completion speed. Pay rates vary by project according to complexity, scope, and required skills. Other projects on the platform may offer different compensation based on their requirements.
Please submit your CV in English and indicate your English proficiency level. toloka-ai, in partnership with Mindrift, connects professionals to project-based freelance roles focused on testing, evaluating, and improving AI systems for leading technology companies. All roles are freelance and project-based, not permanent employment. Role overview This Freelance Data Science Engineer position centers on designing and validating advanced computational problems for real-world analytics. Projects span sectors such as telecom, finance, government, e-commerce, and healthcare. The work is fully remote and open to candidates based in Austria. What you will do Design computational data science problems that reflect actual business workflows across multiple industries. Develop solutions in Python using libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Create complex, algorithmic problems that require computational rather than manual solutions. Build data processing challenges involving statistical analysis, feature engineering, predictive modeling, and insight extraction. Ensure problems are deterministic and reproducible by avoiding randomness or using fixed seeds. Base challenges on real business scenarios, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design problems that cover the full data science pipeline: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include big data processing cases that require scalable computation. Validate solutions in Python using standard libraries and statistical methods. Document each problem with clear business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with measurable business impact. Portfolio of completed projects or publications demonstrating real-world problem-solving. Advanced Python programming skills for data science, including pandas, numpy, scipy, scikit-learn, and statsmodels. Strong background in statistical analysis and machine learning, with deep understanding of algorithms and methodologies. Expertise in SQL and database operations for data manipulation and analysis. Familiarity with Generative AI, such as large language models, retrieval-augmented generation, prompt engineering, and vector databases. Knowledge of MLOps practices and model deployment workflows. Experience with frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English skills at C1 level or higher. Application process Apply Pass qualifications Join a project Complete tasks Receive compensation
Toloka AI is seeking a freelance specialist with a background in biology and Python programming. This remote role focuses on creating and delivering training content for learners interested in artificial intelligence. Role overview The Biology and Python Specialist will design educational materials that bridge concepts in biology with practical Python skills. The goal is to help participants build a strong foundation for work in AI-related fields. What you will do Develop training programs that combine biology topics with Python programming techniques Deliver instructional content to support learners as they build AI skills Requirements Expertise in biology Strong proficiency in Python Ability to communicate technical concepts clearly This freelance position is open to candidates based in Austria and offers the flexibility to work remotely.
Please submit your CV in English and indicate your level of English proficiency.Mindrift is a dynamic platform connecting talented specialists with exciting project-based opportunities in artificial intelligence for leading technology companies. Our focus is on testing, evaluating, and enhancing 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 involved in tasks such as:Designing original computational statistics problems that reflect real mathematical research workflows;Creating Python programming challenges utilizing libraries such as Numpy, SciPy, and Sympy;Ensuring problems are computationally intensive and cannot be solved manually within reasonable timeframes;Generating problems that require complex reasoning in fields like number theory, combinatorics, graph theory, and numerical analysis;Formulating challenges based on genuine research issues or practical applications in mathematics;Validating solutions using Python with standard mathematical libraries;Clearly documenting problem statements and providing verified correct solutions.QualificationsThis role is perfect for statistics professionals with experience in Python who are interested in part-time, non-permanent projects. Ideal candidates will possess:A degree in Statistics or a related field;Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also valuable;Over 2 years of professional experience in applied work, research, or teaching;Strong written English skills (C1+ proficiency);Professional certifications such as CMME, SAS Certifications, or CAP and involvement in international or applied projects are advantageous.How It WorksApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject 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.CompensationContributors may earn up to $50 per hour, contingent on their expertise and contribution pace. Compensation varies based on project scope, complexity, and required skills. Please note that other projects on the platform may offer different pay rates based on their specific requirements.
Mindrift connects professionals with project-based AI training work for technology companies. This freelance role focuses on testing, evaluating, and improving AI systems through chemistry and Python expertise. Participation is on a project basis, not as a permanent employee. What you will do Create computational chemistry problems that reflect real research workflows Design tasks that require Python programming to solve, using tools like numpy, scipy, and chemical libraries Ensure problems are computationally intensive and not solvable manually in a reasonable time Develop scenarios involving complex reasoning in physical chemistry, quantum chemistry, or molecular modeling Base problems on genuine research challenges or practical chemistry applications Validate solutions in Python, applying standard computational chemistry methods Document problem statements clearly and provide accurate, verified solutions Requirements Degree in Chemistry or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also acceptable At least 2 years of relevant experience in application, research, or education Experience with numerical methods in chemistry Strong grasp of computational chemistry concepts and techniques Exceptional written English skills (C1+ level) Project workflow The process includes application, a qualification stage, project engagement, task completion, and compensation. Time commitment During active periods, tasks typically require about 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload. Compensation Contributors may earn up to $29 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 rates based on their requirements. Please submit your CV in English and include your English proficiency level.
Mindrift connects skilled professionals with project-based opportunities to support leading tech companies in testing, evaluating, and improving AI systems. This freelance role with toloka-ai is remote and based in Austria. Participation is strictly project-based and does not constitute permanent employment. Role overview Freelance AI Trainers specializing in Mathematics and Python contribute to a range of projects. Work includes: Designing original computational mathematics problems that mirror real research workflows Developing challenges that require Python programming for solutions, using libraries such as Numpy, SciPy, or Sympy Ensuring problems are computationally complex, requiring more than a reasonable amount of manual effort to solve Creating tasks that involve intricate reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Basing problems on authentic research questions or practical scenarios from mathematical practice Validating solutions using Python and standard mathematical libraries Documenting problem statements clearly and providing verified 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, or similar tools is also acceptable At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems that reflect real mathematical research workflows Strong grasp of computational complexity theory Exceptional written English skills (C1 level or higher) Project commitment Expect to dedicate about 10–20 hours per week during active project periods. Actual workload may vary depending on project needs and is not fixed. Compensation Contributors may earn up to $45 per hour, depending on the nature and complexity of the project and individual contribution. Rates can vary across different projects on the platform. Application process Submit a CV in English, including your English proficiency level. The process includes qualification steps, joining a project, completing assigned tasks, and receiving payment upon completion.
We invite you to submit your CV in English, clearly indicating your level of English proficiency.At Mindrift, we specialize in connecting talented professionals with innovative, project-based AI opportunities for leading technology companies. Our focus is on testing, evaluating, and enhancing AI systems across various domains. Please note that participation in our projects is temporary and not a permanent employment opportunity.Opportunity OverviewWhile each project presents its own unique challenges, contributors can expect to:Design original computational physics problems that reflect authentic physics research workflows;Create challenges requiring advanced Python programming skills (including Numpy, SciPy, and Sympy) to find solutions;Ensure that problems are computationally demanding and cannot be resolved manually within practical timeframes (days or weeks);Develop scenarios necessitating intricate reasoning within mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research hurdles or practical applications in the field of physics;Validate solutions utilizing Python with standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Ideal Candidate ProfileThis role is well-suited for physicists experienced in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and/or other programming languages considered equivalent;A minimum of 2 years of professional experience, encompassing applied physics, research, or teaching roles;Experience with numerical simulation methods;The capability to design problems that accurately mirror real physics research workflows;Creative problem-solving skills across various areas of physics;Familiarity with physics modeling and approximation techniques;Strong written English skills (C1 level or above).Application ProcessApply → Pass qualifications → Join a project → Complete tasks and get compensated.Project Time CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project requirements. This is just an estimate and does not guarantee a specific workload.CompensationContributors can earn up to $45 per hour, depending on their level of expertise and contribution pace. Please note that compensation may vary across projects based on their complexity and requirements.
Toloka AI seeks a freelance Civil Engineer with advanced Python skills to assist in training AI models. This contract position is open to professionals based in Austria and offers the flexibility of remote work. Role overview This role combines civil engineering expertise with Python programming to support AI development. Projects require both technical proficiency and domain knowledge, allowing for meaningful contributions to AI training efforts. What you will do Use civil engineering background and Python coding to help train and improve AI systems Work on projects that benefit from both engineering and programming skills Location This is a remote role for candidates based in Austria.
We invite you to submit your CV in English, highlighting your level of English proficiency.Mindrift connects talented specialists with project-based AI opportunities in collaboration with leading technology companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based engagement, not a permanent position.Opportunity OverviewEach project presents unique tasks; contributors may:Design innovative computational engineering problems that replicate real-world engineering workflows;Develop problems that necessitate Python programming for solving engineering computations and simulations;Ensure that problems are computationally demanding, requiring numerical methods or iterative solutions;Create scenarios involving system design, optimization, and analysis;Base challenges on genuine research issues or practical applications derived from engineering practice;Validate solutions using Python with standard engineering libraries;Clearly document problem statements and provide verified correct solutions.Desired QualificationsThis role is an excellent match for engineers experienced in Python who are open to part-time, non-permanent projects. Ideal candidates will possess:A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language may also be acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching experience;An understanding of practical engineering constraints and approximations;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessSteps to join:ApplyPass qualification(s)Join a projectComplete tasksReceive paymentProject Time CommitmentFor this role, tasks are expected to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimated workload applicable only during project activity.CompensationContributors can earn up to $50 per hour, depending on their expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise. Please note that other projects on our platform may offer varying earning levels according to their demands.
We invite you to submit your CV in English, including your English proficiency level.Mindrift specializes in connecting talented professionals with project-based AI opportunities from leading tech organizations. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based opportunity, not permanent employment.Key Responsibilities:Design innovative computational physics problems that emulate authentic physics research workflows.Develop challenges that require Python programming for resolution (utilizing Numpy, SciPy, Sympy).Ensure problems are computationally intensive, taking days or weeks to solve manually.Create problems that necessitate complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics.Formulate problems based on real-world research challenges or practical applications in the field of physics.Validate solutions through Python using standard physics simulation libraries.Clearly document problem statements and provide verified correct answers.Qualifications:This role is ideal for physicists with Python experience who are looking for part-time, non-permanent projects. The preferred candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a closely related field.Proficiency in Python for numerical validation (knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is acceptable).A minimum of 2 years of professional experience in applied physics, research, or teaching.Experience with numerical simulation methods.Ability to craft problems that reflect genuine physics research workflows.Creative problem-solving skills across diverse areas of physics.Familiarity with physics modeling and approximation techniques.Strong written English skills (C1 or higher).Application Process:Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensated.Project Expectations:For this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, contingent upon project demands. This estimate is not a guarantee of workload and only applies while the project is ongoing.Compensation:Contributors can earn up to $45 per hour, depending on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required expertise. Be aware that other projects on the platform may offer different pay scales based on their specific requirements.
We invite you to submit your CV in English, specifying your level of English proficiency.Mindrift specializes in connecting experts with project-based AI opportunities for premier technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based opportunity and does not constitute permanent employment.About the RoleAs a contributor, you will engage in unique project tasks, including:Designing original computational physics challenges that replicate real-world physics research processes;Creating programming problems that necessitate the use of Python (Numpy, SciPy, Sympy) for solutions;Ensuring that the tasks are computationally demanding, requiring substantial time (days/weeks) to solve manually;Developing complex problems that entail intricate reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating problems rooted in genuine research challenges or applicable scenarios from physics;Validating solutions using Python alongside standard physics simulation libraries;Documenting problem statements with clarity and providing verified accurate answers.Candidate ProfileThis role is ideal for quantum researchers with Python expertise who are open to part-time, non-permanent projects. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or equivalent fields;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also accepted;A minimum of 2 years of professional experience in applied research or teaching;Familiarity with numerical simulation methods;The ability to create problems that reflect authentic physics research workflows;Innovative problem design across various physics domains;An understanding of physics modeling and approximation techniques;Strong written English proficiency (C1+ level).Process OverviewApply → Pass qualification(s) → Join a project → Complete tasks → Receive compensation.Project CommitmentTasks are estimated to require approximately 10–20 hours per week during active project phases, based on specific project demands. This is an estimate and not a guaranteed workload, applicable only while the project is live.CompensationContributors can earn up to $45 per hour, contingent on their level of expertise and contribution pace. Please note that compensation may vary across different projects based on their scope, complexity, and required skills.
Toloka Annotators is hiring a Freelance AI Trainer & Data Annotator to help advance AI systems. This contract position centers on providing precise data annotation, which plays a key role in refining machine learning models. Role overview This freelance role involves labeling and annotating data sets to ensure the quality and accuracy required for AI development. Attention to detail and consistency are important, as the annotated data directly impacts how machine learning models perform. Location This is a remote position available to candidates who reside in Austria.
We invite you to submit your CV in English and specify your level of English proficiency.Mindrift connects talented professionals with project-based AI opportunities at leading tech firms, focusing 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 tasks, and contributors may be involved in:Creating original computational physics challenges that replicate real-world physics research processes;Formulating problems that necessitate Python programming solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring that tasks are computationally demanding and cannot be resolved manually within practical timeframes (days/weeks);Designing challenges that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Developing problems based on authentic research issues or practical applications in the field of physics;Validating solutions with Python using standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis role is ideal for optical engineers experienced in Python who are open to part-time, non-permanent project work. The ideal candidates 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, domain-specific libraries, Stata, or knowledge of any programming language is acceptable;A minimum of 2 years of professional experience: applicable experience may include applied, research, or teaching roles;Experience with numerical simulation techniques;The ability to create problems that reflect genuine physics research workflows;Creative problem-solving skills across various physics domains;Familiarity with physics modeling and approximation strategies;Strong written English proficiency (C1+).Application ProcessSteps to participate: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentDuring active phases, project tasks are expected to require approximately 10–20 hours per week, depending on project specifics. This is an estimate and not a guaranteed workload for the project duration.CompensationContributors can earn up to $45 per hour, contingent on their expertise and contribution pace. Compensation rates may vary across different projects based on scope, complexity, and required skills. Please note that other projects on the platform may present different earning potentials based on their specific requirements.
Toloka AI seeks a Freelance English Writer to contribute to AI system development. This remote position is open to candidates based anywhere in Austria. Role overview The main focus is on creating English-language content that supports AI training. Writers in this role help improve how AI models understand and generate language by supplying clear and engaging text. What you will do Write English content designed for AI training Produce examples and prompts that support AI performance refinement Work with Toloka AI’s team to achieve project standards and objectives Work environment This freelance role provides flexibility and allows work from home. Writers have the opportunity to support advancements in AI technology while managing their own schedules.
Toloka AI is hiring a Freelance Junior Journalist - AI Trainer for a remote role based in Austria. The position centers on supporting the creation and refinement of training data that helps artificial intelligence systems better interpret and respond to human language. Role overview This job involves working with datasets that train AI models, with a focus on language accuracy and clarity. The work directly influences how AI systems understand and process natural language. What you will do Assist in developing and refining datasets for AI training Use journalistic skills to assess and improve AI language understanding Who this suits This position is a good match for those who want to combine journalism with the rapidly changing field of artificial intelligence. Curiosity about language, strong attention to detail, and an openness to learning new methods are key qualities for success in this role.
Role overview Toloka AI seeks a Freelance Mathematics Expert to assist with AI training projects. This is a remote contract position available to candidates located in Austria. Key responsibilities Use mathematics expertise to support the training and improvement of AI algorithms Review data and model outputs to help ensure accuracy and reliability Contribute to projects that enhance AI capabilities Work context This freelance role involves engaging with new technologies and supporting the development of AI systems. Mathematics experts in this position help influence how AI models perform in practical, real-world situations.
Mindrift seeks freelance n8n Workflow Developers to support the Tendem project (https://tendem.ai/). This remote, part-time contract is open to candidates based in Austria. The role centers on designing and refining automation workflows that combine AI with human input. Role overview As an AI Pilot, the main focus is building and improving automation workflows within self-hosted n8n environments. Projects involve integrating multiple systems and developing scalable pipelines that support AI-powered solutions. Flexibility is built in, making this a good fit for experienced workflow specialists who want to contribute on their own schedule. What you will do Design, build, and assess advanced workflows in self-hosted n8n setups Develop integrations to connect various systems and automate pipelines Create and enhance AI-driven workflows, such as content generation and data enrichment Set up and maintain automations for lead generation, outreach, and data processing Implement web scraping workflows for reliable data extraction Optimize workflow execution, manage node sequencing, and improve error handling to reduce failures, delays, and API timeouts Requirements Minimum of 3 years of experience in automation engineering, workflow development, integrations, or software development Bachelor's or Master’s degree in Computer Science, Engineering, Information Technology, or a related technical field (preferred) Hands-on experience with n8n, especially in self-hosted environments and workflow orchestration Demonstrated ability to design and manage complex automation systems across different tools and platforms Strong background in API integrations, webhooks, and synchronizing data between systems Compensation Contributors on this project can earn up to $60 per hour, depending on expertise and pace of contribution. Actual rates may vary based on project complexity and required skill set.
Mindrift offers project-based work for specialists in AI system assessment and improvement. This freelance role supports technology companies by applying real-world supply chain and procurement expertise to AI training projects. Engagements are structured around specific assignments, not as permanent positions. Role overview This freelance Supply Chain Consultant - AI Trainer position focuses on manufacturing and procurement. The main tasks involve designing disruption scenarios, outlining expected outcomes and mitigation plans, and reviewing AI-generated recommendations for practical fit. Key responsibilities Create realistic supply chain disruption scenarios, such as supplier delays, changes in order quantities, logistics challenges, or quality issues, based on hands-on industry experience. Define expected results and propose mitigation strategies for each scenario. Evaluate AI-generated suggestions to ensure they reflect actual business logic and needs. Assess outputs for accuracy, completeness, and relevance, with a focus on ERP environments like Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP). Support structured data creation and validation, following established guidelines. Project details This is a remote, freelance role based in Austria. Assignments vary in scope and objectives, depending on project needs.
