This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English. At Mindrift , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Mechanical Engineering, you ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI s answers. Correct the model s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you ll help shape the future of AI while ensuring technology benefits everyone. You hold a Bachelors, Master s or PhD Degree in Mechanical Engineering . You have at least 3 years of professional experience in Mechanical Engineering with the focus in one of the following fields: Thermodynamics, Fluid Mechanics, Heat Transfer, Solid Mechanics, Dynamics and Vibration, Materials Science for Mechanical Engineers, Engineering Mechanics, Mechanical Design, Machine Elements, Manufacturing Processes, Computer-Aided Design (CAD), Computer-Aided Engineering (CAE), Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), Kinematics, Dynamics of Machinery, Mechanical Systems Design, Thermal Systems. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you Get paid for your expertise, with rates that can go up to $12/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role Mindrift is looking for passionate freelance contributors to join the Tendem project (https://tendem.ai/) to help build the future of hybrid agents — where human expertise and AI capabilities work hand in hand As an AI Agent Assistant, you'll collaborate with large language models (LLMs) that handle repetitive tasks, while you bring the nuance, judgment, and creativity required to deliver high-quality results. In this role, you won't just review what AI produces — you'll work alongside it, shaping and completing outputs so they are accurate, reliable, and ready for real-world application. Your day-to-day may range from fact-checking a scientific claim to curating a dataset, conducting market research, or refining sales leads. This flexible, part-time remote opportunity is ideal for professionals with backgrounds in research, editing, analysis, or related fields who are excited by the possibilities of human-AI collaboration. Your contributions will directly influence how AI systems learn, evolve, and support industries worldwide. This is a freelance role for a project, and your typical tasks may include: Your mission - deliver well-reasoned, accurate, and clearly written outputs backed by credible sources. Conduct thorough web research to verify information and collect supporting evidence. Collaborate with large language models (LLMs) and internal tools, using them as copilots to complete complex tasks. Design and refine prompts to guide AI toward higher-quality results. Apply best practices for working with LLMs, understanding both their strengths and limitations. Adapt quickly between diverse annotation, research, and analysis tasks while following detailed guidelines How To Get Started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You are currently enrolled in or completed a Bachelor's and/or Master's degree in any field You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity. You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail Your level of English is upper-intermediate (B2) or above You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge Benefits Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $8/hour depending on your skills, experience, location and project needs Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise

As an AI Tutor in Statistics at Mindrift, you will have the opportunity to collaborate on projects aimed at advancing GenAI models and enhancing their capabilities to address specialized questions and achieve complex reasoning skills. Your role will involve the following responsibilities: - Generate prompts that challenge AI. - Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers. - Correct the model's responses based on your domain-specific knowledge. To qualify for this role, you must meet the following requirements: - Hold a Bachelor's, Master's or PhD Degree in Statistics, Biostatistics, Econometrics, or a relevant area. - Have professional experience in fields such as Applied Statistics, Bayesian Statistics, Biostatistics, Econometrics, Experimental Design (DOE) & A/B Testing, Machine Learning, Statistical Modeling, and more. - Possess advanced (C1) or above proficiency in English. - Demonstrate expertise in statistical modeling, data analysis, and proficiency in Python with relevant libraries. - Exhibit strong problem-solving skills, creativity, and adaptability to work on challenging and complex guidelines. This freelance opportunity at Mindrift offers the following benefits: - Competitive rates of up to $11/hour based on your skills and experience. - Flexibility to work part-time on remote freelance projects that align with your schedule. - Gain valuable experience working on advanced AI projects and enhance your portfolio. - Contribute to shaping the future of AI models in your field of expertise. If you are ready to contribute to cutting-edge AI projects and make a meaningful impact, apply now and join the Mindrift platform to be a part of the future of AI. As an AI Tutor in Statistics at Mindrift, you will have the opportunity to collaborate on projects aimed at advancing GenAI models and enhancing their capabilities to address specialized questions and achieve complex reasoning skills. Your role will involve the following responsibilities: - Generate prompts that challenge AI. - Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers. - Correct the model's responses based on your domain-specific knowledge. To qualify for this role, you must meet the following requirements: - Hold a Bachelor's, Master's or PhD Degree in Statistics, Biostatistics, Econometrics, or a relevant area. - Have professional experience in fields such as Applied Statistics, Bayesian Statistics, Biostatistics, Econometrics, Experimental Design (DOE) & A/B Testing, Machine Learning, Statistical Modeling, and more. - Possess advanced (C1) or above proficiency in English. - Demonstrate expertise in statistical modeling, data analysis, and proficiency in Python with relevant libraries. - Exhibit strong problem-solving skills, creativity, and adaptability to work on challenging and complex guidelines. This freelance opportunity at Mindrift offers the following benefits: - Competitive rates of up to $11/hour based on your skills and experience. - Flexibility to work part-time on remote freelance projects that align with your schedule. - Gain valuable experience working on advanced AI projects and enhance your portfolio. - Contribute to shaping the future of AI models in your field of expertise. If you are ready to contribute to cutting-edge AI projects and make a meaningful impact, apply now and join the Mindrift platform to be a part of the future of AI.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What This Opportunity Involves While each project involves unique tasks, contributors may: Design rigorous electrical engineering problems reflecting professional practice Evaluate AI solutions for correctness, assumptions, and constraints Validate calculations or simulations using Python (NumPy, Pandas, SciPy) Improve AI reasoning to align with industry-standard logic Apply structured scoring criteria to multi-step problems. What We Look For This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc. 3+ years of professional electrical engineering experience Strong written English (C1/C2) Strong Python proficiency for numerical validation Stable internet connection Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage. How It Works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment Paid contributions, with rates up to $12/hour* Fixed project rate or individual rates, depending on the project Some projects include incentive payments Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What This Opportunity Involves While each project involves unique tasks, contributors may: Design graduate- and industry-level mechanical engineering problems grounded in real practice Evaluate AI-generated solutions for correctness, assumptions, and engineering logic Validate analytical or numerical results using Python (NumPy, SciPy, Pandas) Improve AI reasoning to align with first principles and accepted engineering standards Apply structured scoring criteria to assess multi-step problem solving. What We Look For This opportunity is a good fit for mechanical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Mechanical Engineering or related fields, e.g. Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics, etc. 3+ years of professional mechanical engineering experience Strong written English (C1/C2) Strong Python proficiency for numerical validation Stable internet connection Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage. How It Works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment Paid contributions, with rates up to $12/hour* Fixed project rate or individual rates, depending on the project Some projects include incentive payments Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What This Opportunity Involves While each project involves unique tasks, contributors may: Design rigorous electrical engineering problems reflecting professional practice Evaluate AI solutions for correctness, assumptions, and constraints Validate calculations or simulations using Python (NumPy, Pandas, SciPy) Improve AI reasoning to align with industry-standard logic Apply structured scoring criteria to multi-step problems. What We Look For This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc. 3+ years of professional electrical engineering experience Strong written English (C1/C2) Strong Python proficiency for numerical validation Stable internet connection Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage. How It Works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment Paid contributions, with rates up to $12/hour* Fixed project rate or individual rates, depending on the project Some projects include incentive payments Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project