Full-time
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Job description
About the Role
We're looking for mechanical engineers to help train and evaluate cutting-edge AI models being developed by the world's leading AI research labs. Your deep technical knowledge will directly shape how AI understands and reasons through complex engineering problems - from fluid dynamics to structural mechanics.
This is a rare opportunity to step outside traditional engineering work and make a lasting impact on the future of artificial intelligence - all on your own schedule, from anywhere in the world.
- Organization
: Alignerr - Type
: Hourly Contract - Location
: Remote - Commitment
: 10-40 hours/week What You'll Do - Design Complex Engineering Problems
- Craft advanced, domain-specific problems across areas like FEA, heat transfer, kinematics, fluid dynamics, thermodynamics, and material science to rigorously test AI reasoning and performance - Author Ground-Truth Solutions
- Write precise, step-by-step technical solutions that serve as benchmarks for AI learning, ensuring accuracy and adherence to engineering standards (ASME, ISO, etc.) - Audit AI-Generated Outputs
- Evaluate AI-produced CAD logic, thermodynamic proofs, and material specifications for technical correctness, physical plausibility, and safety - Refine AI Reasoning
- Identify logical errors such as incorrect force distributions, energy conservation violations, or flawed material assumptions, and provide structured feedback to improve model performance - Work Independently
- Manage your own workload asynchronously with full flexibility over your schedule Who You Are - Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
- Strong foundational knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
- Able to communicate complex technical concepts clearly and precisely in written form
- Highly detail-oriented - comfortable verifying mathematical derivations, unit conversions, and physical system constraints
- Self-motivated and reliable when working independently
- No prior AI experience required
- Experience with data annotation, data quality evaluation, or technical review workflows
- Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS
- Familiarity with engineering simulation, FEA, or computational fluid dynamics workflows
- Work on genuinely cutting-edge AI projects alongside top research labs
- Fully remote and flexible - work when and where you want
- Gain rare, first-hand exposure to how advanced large language models (LLMs) are trained and evaluated
- Freelance autonomy: no meetings, no commute, no micromanagement
- Collaborate with a global team of technical experts
- Potential for ongoing work and contract extension
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Mechanical Engineer?
A: To succeed as a Mechanical Engineer, key technical skills include proficiency in computer-aided design (CAD) software, knowledge of mechanical systems and thermodynamics, and expertise in programming languages such as Python or C++. Additionally, soft skills like strong problem-solving abilities, effective communication, and teamwork are crucial for collaborating with cross-functional teams and presenting design solutions to stakeholders. By combining these technical and soft skills, Mechanical Engineers can effectively design, develop, and implement innovative solutions, driving career growth and success in the field.
Q: What is the career path for a Mechanical Engineer?
A: A Mechanical Engineer's typical career progression involves starting as a Design Engineer or Junior Mechanical Engineer, where they develop and improve mechanical systems and products. As they gain experience, they can move into mid-level roles such as Senior Mechanical Engineer or Project Engineer, overseeing projects and leading teams, and then progress to senior roles like Technical Lead or Engineering Manager, where they drive innovation and strategy. Throughout their career, Mechanical Engineers can develop skills in areas like computer-aided design (CAD), finite element analysis (FEA), and project management, and may also pursue certifications like PE (Professional Engineer) or Six Sigma to enhance their career prospects.
