Mechanical Engineering
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Manchester, England, United Kingdom
Summary: The role of Mechanical Engineering — AI Trainer involves leveraging mechanical engineering expertise to train and enhance advanced AI models. Candidates will design complex engineering problems, author ground-truth solutions, and audit AI reasoning for technical accuracy. This position offers a unique opportunity to work at the intersection of engineering and artificial intelligence, with flexible remote working arrangements. Ideal candidates will possess advanced degrees in relevant fields and strong domain knowledge in mechanical engineering principles.
Key Responsibilities:
- Design Complex Engineering Problems across areas like FEA, heat transfer, kinematics, fluid dynamics, and material science.
- Author Ground-Truth Solutions that serve as benchmarks for AI learning.
- Audit AI Reasoning for technical accuracy, safety, and compliance with engineering standards.
- Identify and Correct Failures in AI reasoning and provide structured feedback.
- Work Independently on task-based assignments with full flexibility.
Key Skills:
- Advanced Degree: Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
- Strong Domain Knowledge in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes.
- Technical Writing skills to communicate complex phenomena clearly.
- Precise and Detail-Oriented with high accuracy in reviewing mathematical derivations and physical system constraints.
- No AI experience required; engineering knowledge is sufficient.
- Prior experience with data annotation or evaluation workflows is a plus.
- Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS.
- Experience reviewing or writing technical documentation to industry standards.
Salary (Rate): £35.00/hr
City: Manchester
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Mechanical Engineering — AI Trainer
About The Role
We're looking for mechanical engineers to help train and improve some of the world's most advanced AI models. Your deep technical knowledge will be used to challenge, evaluate, and sharpen how AI reasons through complex engineering problems — from fluid dynamics to structural mechanics. This is a unique opportunity to sit at the intersection of engineering and artificial intelligence, contributing directly to the development of next-generation AI systems.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Complex Engineering Problems — Create advanced, domain-specific challenges across areas like FEA (Finite Element Analysis), heat transfer, kinematics, fluid dynamics, and material science to rigorously test AI performance.
- Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI learning — clear enough to be unambiguous, rigorous enough to be authoritative.
- 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 Correct Failures — Spot logical flaws in AI reasoning — such as incorrect force distributions, energy conservation violations, or faulty material assumptions — and provide structured feedback to improve model behavior.
- Work Independently — Complete task-based assignments on your own schedule with full flexibility.
Who You Are
- Advanced Degree: Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
- Strong Domain Knowledge: Solid foundations in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
- Technical Writer: Able to communicate complex physical phenomena and mathematical reasoning clearly and concisely in writing
- Precise and Detail-Oriented: High accuracy when reviewing mathematical derivations, unit conversions, and physical system constraints
- No AI experience required — if you know your engineering, we'll handle the rest
Nice to Have
- Prior experience with data annotation, data quality, or evaluation workflows
- Proficiency in 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 with leading AI research labs and teams
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and collaboration with a global network of experts
- Apply your engineering expertise in a completely new and impactful way
- Potential for ongoing work and contract extension