Mechanical Engineering – AI Trainer

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to make it happen. As an AI Trainer, you'll use your deep domain knowledge to challenge, test, and refine how AI reasons through complex engineering problems.

This is a unique opportunity to work at the intersection of engineering and artificial intelligence, contributing directly to the next generation of technical AI systems — all on a flexible, remote contract basis.

Type: Hourly Contract

Fully Remote

Commitment: 10–40 hours/week

Design Complex Engineering Problems — Craft advanced, multi-step problems spanning fluid dynamics, thermodynamics, structural mechanics, FEA, heat transfer, kinematics, and materials science to rigorously stress-test AI capabilities

Author Ground-Truth Solutions — Develop exact, step-by-step technical solutions that serve as gold-standard benchmarks for AI learning and evaluation

Audit AI Reasoning — Review and evaluate AI-generated outputs — including CAD logic, thermodynamic proofs, and material specifications — for technical accuracy, physical validity, and adherence to engineering standards (e.g., Identify & Correct Reasoning Failures — Spot logical errors such as incorrect force distributions, energy conservation violations, or flawed unit analysis,



and provide structured feedback to improve how the model thinks

Document Failure Modes — Systematically record model weaknesses to help research teams harden AI reasoning across mechanical engineering domains

Advanced Degree — Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field

Strong Domain Expertise — Deep knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes

Detail-Oriented — High level of precision when reviewing mathematical derivations, unit conversions, dimensional analysis, and physical system constraints

No prior AI experience required — we'll get you up to speed

Experience with data annotation, technical writing, or quality evaluation

Proficiency in engineering software such as SolidWorks, MATLAB, ANSYS, or similar tools

Familiarity with FEA workflows, CFD simulation, or mechatronics systems

Work on genuinely cutting-edge AI projects alongside world-class research teams

Fully remote and flexible — work independently on your own schedule

Apply your engineering expertise in a novel, intellectually stimulating way

Gain rare, hands-on exposure to how advanced large language models are trained and evaluated

Freelance perks: autonomy, variety, and global collaboration

Potential for ongoing work and contract extension

📌 Mechanical Engineer (Remote) (Delhi)
🏢 Alignerr
📍 Delhi