AI Product & Operation Jobs

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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 doThe 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.The Role We are seeking experienced Civil Engineers with Python skills to train and evaluate AI models on realistic civil engineering problems. This role emphasizes engineering judgment and analytical rigor, not drafting or software development.What You’ll Do You may be asked to: Design technically rigorous civil engineering problems grounded in practice.Evaluate AI solutions for engineering accuracy and assumptions.Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs.Improve AI reasoning to align with codes, standards, and professional logic.Apply structured scoring criteria to assess model performance.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Civil Engineering or related fieldStrong Python proficiency3+ years professional or advanced academic experience in one or more of: Structural, Geotechnical, Transportation Water Resources, Environmental, Hydraulic Construction Engineering & Management Infrastructure, Coastal, Earthquake, Sustainable EngineeringAdvanced English proficiency (C1+) Ability to design computationally intensive, non-trivial problemsBenefitsWhy Join Earn up to $55/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Civil Engineers with Python skills to train and evaluate AI models on realistic civil engineering problems. This role emphasizes engineering judgment and analytical rigor, not drafting or software development.What You’ll Do You may be asked to: Design technically rigorous civil engineering problems grounded in practice.Evaluate AI solutions for engineering accuracy and assumptions.Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs.Improve AI reasoning to align with codes, standards, and professional logic.Apply structured scoring criteria to assess model performance.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Civil Engineering or related fieldStrong Python proficiency3+ years professional or advanced academic experience in one or more of: Structural, Geotechnical, Transportation Water Resources, Environmental, Hydraulic Construction Engineering & Management Infrastructure, Coastal, Earthquake, Sustainable EngineeringAdvanced English proficiency (C1+) Ability to design computationally intensive, non-trivial problemsBenefitsWhy Join Earn up to $12/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Civil Engineers with Python skills to train and evaluate AI models on realistic civil engineering problems. This role emphasizes engineering judgment and analytical rigor, not drafting or software development.What You’ll Do You may be asked to: Design technically rigorous civil engineering problems grounded in practice.Evaluate AI solutions for engineering accuracy and assumptions.Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs.Improve AI reasoning to align with codes, standards, and professional logic.Apply structured scoring criteria to assess model performance.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Civil Engineering or related fieldStrong Python proficiency3+ years professional or advanced academic experience in one or more of: Structural, Geotechnical, Transportation Water Resources, Environmental, Hydraulic Construction Engineering & Management Infrastructure, Coastal, Earthquake, Sustainable EngineeringAdvanced English proficiency (C1+) Ability to design computationally intensive, non-trivial problemsBenefitsWhy Join Earn up to $55/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $55/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $13/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $55/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Civil Engineers with Python skills to train and evaluate AI models on realistic civil engineering problems. This role emphasizes engineering judgment and analytical rigor, not drafting or software development.What You’ll Do You may be asked to: Design technically rigorous civil engineering problems grounded in practice.Evaluate AI solutions for engineering accuracy and assumptions.Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs.Improve AI reasoning to align with codes, standards, and professional logic.Apply structured scoring criteria to assess model performance.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Civil Engineering or related fieldStrong Python proficiency3+ years professional or advanced academic experience in one or more of: Structural, Geotechnical, Transportation Water Resources, Environmental, Hydraulic Construction Engineering & Management Infrastructure, Coastal, Earthquake, Sustainable EngineeringAdvanced English proficiency (C1+) Ability to design computationally intensive, non-trivial problemsBenefitsWhy Join Earn up to $43/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $20/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Civil Engineers with Python skills to train and evaluate AI models on realistic civil engineering problems. This role emphasizes engineering judgment and analytical rigor, not drafting or software development.What You’ll Do You may be asked to: Design technically rigorous civil engineering problems grounded in practice.Evaluate AI solutions for engineering accuracy and assumptions.Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs.Improve AI reasoning to align with codes, standards, and professional logic.Apply structured scoring criteria to assess model performance.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Civil Engineering or related fieldStrong Python proficiency3+ years professional or advanced academic experience in one or more of: Structural, Geotechnical, Transportation Water Resources, Environmental, Hydraulic Construction Engineering & Management Infrastructure, Coastal, Earthquake, Sustainable EngineeringAdvanced English proficiency (C1+) Ability to design computationally intensive, non-trivial problemsBenefitsWhy Join Earn up to $43/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Electrical Engineers with strong Python skills to train AI models on complex electrical engineering reasoning tasks. This role focuses on technical evaluation and problem design, not software development or data labeling. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Electrical Engineering or related field.Strong Python proficiency for numerical validation.3+ years professional or advanced academic experience in one or more of: Power Systems, Power Electronics, Electric Machines & Drives Control Systems, Signal Processing, Communications Electronics, Microelectronics, VLSI, Embedded Systems Renewable Energy, Smart Grids, EV Systems Advanced English proficiency (C1+) Ability to design complex, non-trivial engineering problemsBenefitsWhy Join Earn up to $33/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $38/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $13/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Electrical Engineers with strong Python skills to train AI models on complex electrical engineering reasoning tasks. This role focuses on technical evaluation and problem design, not software development or data labeling. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Electrical Engineering or related field.Strong Python proficiency for numerical validation.3+ years professional or advanced academic experience in one or more of: Power Systems, Power Electronics, Electric Machines & Drives Control Systems, Signal Processing, Communications Electronics, Microelectronics, VLSI, Embedded Systems Renewable Energy, Smart Grids, EV Systems Advanced English proficiency (C1+) Ability to design complex, non-trivial engineering problemsBenefitsWhy Join Earn up to $38/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Electrical Engineers with strong Python skills to train AI models on complex electrical engineering reasoning tasks. This role focuses on technical evaluation and problem design, not software development or data labeling. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Electrical Engineering or related field.Strong Python proficiency for numerical validation.3+ years professional or advanced academic experience in one or more of: Power Systems, Power Electronics, Electric Machines & Drives Control Systems, Signal Processing, Communications Electronics, Microelectronics, VLSI, Embedded Systems Renewable Energy, Smart Grids, EV Systems Advanced English proficiency (C1+) Ability to design complex, non-trivial engineering problemsBenefitsWhy Join Earn up to $40/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $50/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $38/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $35/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $55/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $33/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems

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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 doThe 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.The Role We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development. What You’ll Do You may be asked to: 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.How to Apply Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.RequirementsBachelor’s, Master’s, or PhD in Mechanical Engineering or closely related fieldStrong Python proficiency for numerical validation3+ years professional or advanced academic experience in one or more of: Thermodynamics, Heat Transfer, Fluid Mechanics Solid Mechanics, Dynamics & Vibration Mechanical Design, Machine Elements FEA, CFD, Computational Mechanics Manufacturing Processes, CAD/CAE, Thermal SystemsAdvanced English proficiency (C1+)Strong Python proficiency for numerical validationAbility to design non-trivial, computationally intensive problemsBenefitsWhy Join Earn up to $33/hour for your expertise Fully remote, flexible, part-time freelance work Contribute to how future AI systems reason about mechanical engineering Work on technically rigorous, non-routine problems