Negotiable
Undetermined
Remote
Oxford, England, United Kingdom
Summary: The Mechanical Engineering Expert role focuses on collaborating with leading AI research labs to develop advanced AI models through the creation of complex engineering problems and solutions. Candidates will leverage their expertise in mechanical engineering to evaluate AI outputs and refine model reasoning. This position offers a unique intersection of engineering and artificial intelligence, with no prior AI experience required. The role is fully remote, allowing for flexible hours between 10 to 40 hours per week.
Key Responsibilities:
- Design Advanced Problems — Craft challenging mechanical engineering problems across domains including FEA, heat transfer, kinematics, and material science to rigorously test AI performance
- Author Gold-Standard Solutions — Write precise, step-by-step technical solutions 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 standards like ASME and ISO
- Refine Model Thinking — Identify and document reasoning failures such as incorrect force distributions, energy conservation violations, or flawed assumptions, and provide structured feedback to improve AI logic
Key Skills:
- 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 physical phenomena and technical concepts clearly in written form
- Meticulous attention to detail — especially when reviewing mathematical derivations, unit conversions, and physical constraints
- No prior AI or data annotation experience required
- Prior experience with data annotation, quality evaluation, or technical review workflows (nice to have)
- Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS (nice to have)
- Experience reviewing or writing technical documentation to industry standards (nice to have)
Salary (Rate): £35.00/hr
City: Oxford
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Mechanical Engineering Expert (AI Training)
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 to make it happen. As a Mechanical Engineering Expert, your deep domain knowledge will directly shape how AI understands and reasons through complex engineering problems in fluid dynamics, thermodynamics, structural mechanics, and beyond. This is a unique opportunity to sit at the intersection of engineering and artificial intelligence — no AI background required.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Problems — Craft challenging mechanical engineering problems across domains including FEA, heat transfer, kinematics, and material science to rigorously test AI performance
- Author Gold-Standard Solutions — Write precise, step-by-step technical solutions 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 standards like ASME and ISO
- Refine Model Thinking — Identify and document reasoning failures such as incorrect force distributions, energy conservation violations, or flawed assumptions, and provide structured feedback to improve AI logic
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 physical phenomena and technical concepts clearly in written form
- Meticulous attention to detail — especially when reviewing mathematical derivations, unit conversions, and physical constraints
- No prior AI or data annotation experience required
Nice to Have
- Prior experience with data annotation, quality evaluation, or technical review workflows
- Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS
- Experience reviewing or writing technical documentation to industry standards
Why Join Us
- Work on cutting-edge AI projects in collaboration with top AI research labs
- Fully remote and flexible — set your own schedule and workload
- Freelance autonomy with the variety and stimulation of real engineering challenges
- Gain direct exposure to how advanced large language models (LLMs) are trained and evaluated
- Potential for ongoing work and contract extension