Mechanical Engineering
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Oxford, England, United Kingdom
Summary: The Mechanical Engineering AI Trainer role involves collaborating with leading AI research labs to enhance AI models through the application of mechanical engineering principles. The position requires designing complex engineering problems and authoring solutions to benchmark AI performance, all while working remotely and independently. Candidates should possess a strong background in mechanical engineering and be able to communicate technical concepts effectively. This role offers flexibility in hours and the potential for ongoing contract work.
Key Responsibilities:
- Design Challenging Problems — Create advanced mechanical engineering problems spanning FEA, heat transfer, kinematics, material science, and mechatronics to stress-test AI model performance
- Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
- Audit Technical Reasoning — Review AI-generated CAD logic, thermodynamic proofs, and material specifications for accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.)
- Refine AI Thinking — Identify flaws in AI reasoning and provide structured feedback to improve model outputs
Key Skills:
- Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline
- Strong foundational knowledge in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
- Able to communicate complex physical phenomena and technical reasoning clearly and concisely in writing
- Highly precise when working with mathematical derivations, unit conversions, and physical system constraints
- Self-motivated and comfortable working independently in an async remote environment
- No prior AI experience required
- Experience with data annotation, technical evaluation, or quality assurance workflows (nice to have)
- Proficiency with engineering tools such as SolidWorks, MATLAB, or ANSYS (nice to have)
- Familiarity with AI or machine learning concepts (nice to have)
Salary (Rate): £35.00/hr
City: Oxford
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Mechanical Engineering AI Trainer
About The Role
We partner with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to help make it happen. This is a unique opportunity to apply your deep engineering knowledge in a cutting-edge AI context, working remotely on your own schedule. You'll put advanced AI models through their paces across fluid dynamics, thermodynamics, structural mechanics, and more — designing problems that expose the limits of AI reasoning and crafting the gold-standard solutions that help these models improve.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Challenging Problems — Create advanced mechanical engineering problems spanning FEA, heat transfer, kinematics, material science, and mechatronics to stress-test AI model performance
- Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
- Audit Technical Reasoning — Review AI-generated CAD logic, thermodynamic proofs, and material specifications for accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.)
- Refine AI Thinking — Identify flaws in AI reasoning — such as incorrect force distributions, energy conservation violations, or faulty material assumptions — and provide structured feedback to improve model outputs
Who You Are
- Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline
- Strong foundational knowledge in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
- Able to communicate complex physical phenomena and technical reasoning clearly and concisely in writing
- Highly precise when working with mathematical derivations, unit conversions, and physical system constraints
- Self-motivated and comfortable working independently in an async remote environment
- No prior AI experience required — your engineering expertise is what matters
Nice to Have
- Experience with data annotation, technical evaluation, or quality assurance workflows
- Proficiency with engineering tools such as SolidWorks, MATLAB, or ANSYS
- Familiarity with AI or machine learning concepts
Why Join Us
- Work on genuinely cutting-edge AI projects alongside world-class research teams
- Fully remote and flexible — set your own hours and workload
- Gain rare, first-hand exposure to how large language models are trained and evaluated
- Freelance autonomy with the backing of a professional, globally collaborative team
- Potential for ongoing contract extension as projects grow