Senior Machine Learning Expert (AI Training) About the Role What if your deep knowledge of machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions?
Mechanical Engineering Expert - AI Content Specialist
Remote (Global)
$35 – $60/hr
July 14, 2026
Job description
Mechanical Engineering Expert — AI Content Specialist
About the Role
We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers who know their stuff to make it happen.
As a Mechanical Engineering Expert, you'll be on the front lines of AI development: designing complex engineering problems, authoring authoritative solutions, and auditing AI reasoning across fluid dynamics, thermodynamics, structural mechanics, and more. Your expertise will directly shape how the next generation of AI models thinks through real engineering challenges.
This is a fully remote, flexible contract role — work on your schedule, contribute at the level that suits you, and make a genuine impact on cutting-edge technology.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Engineering Problems — Craft challenging, domain-specific problems across FEA (Finite Element Analysis), heat transfer, kinematics, fluid dynamics, and material science to stress-test AI performance
- Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions and "golden responses" that serve as benchmarks for AI learning and evaluation
- Audit AI Reasoning — Evaluate AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO)
- Identify and Fix Reasoning Failures — Pinpoint logical errors in AI outputs — such as incorrect force distributions, energy conservation violations, or flawed kinematic assumptions — and provide structured feedback to improve model reasoning
- Document Failure Modes — Systematically record how and why AI models fail on specific problem types to help research teams harden model performance
Who You Are
- Advanced Degree — Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline
- Strong Domain Knowledge — Deep foundational expertise in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
- Clear Technical Communicator — Able to explain complex physical phenomena and mathematical reasoning in precise, well-structured written form
- Detail-Oriented — High precision when reviewing mathematical derivations, unit conversions, dimensional analysis, and physical system constraints
- No prior AI experience required — if you know mechanical engineering, we'll handle the rest
Nice to Have
- Experience with data annotation, data quality assessment, or evaluation workflows
- Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS — especially for evaluating AI-generated code or simulation workflows
- Background in academic research, technical writing, or engineering education
Why Join Us
- Work on genuinely cutting-edge AI projects alongside top research labs and AI teams
- Fully remote and asynchronous — work when and where it suits you
- Freelance flexibility: set your own hours, maintain full autonomy
- Gain rare, first-hand exposure to how advanced large language models (LLMs) are trained and evaluated
- Collaborate with a global community of technical experts and researchers
- Potential for ongoing work and contract extension as projects evolve
Compensation by region
Pay varies by where you're based. Each region below is open to applicants in that country only.
Available in 7 regions: pick your country on click.
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