Mechanical Engineering - AI Data Trainer
Posted 1 day ago by Alignerr
Negotiable
Undetermined
Remote
Manchester, England, United Kingdom
Summary: The Mechanical Engineering - AI Data Trainer role at Alignerr involves developing and evaluating advanced mechanical engineering problems to enhance AI models. The position requires creating technical solutions and auditing AI-generated outputs for accuracy and adherence to engineering standards. Candidates should possess a strong background in mechanical or aerospace engineering and demonstrate analytical writing skills. This is a remote, hourly contract position with flexible hours.
Key Responsibilities:
- Design advanced mechanical engineering problems across domains like FEA, heat transfer, kinematics, and material science to test AI performance.
- Create rigorous, step-by-step technical solutions and "golden responses" for AI learning benchmarks.
- Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy and safety.
- Identify logical fallacies in AI reasoning and provide structured feedback to improve model reasoning.
Key Skills:
- Masters or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
- Strong foundational knowledge in solid mechanics, fluid mechanics, CAD/CAM, or manufacturing processes.
- Ability to communicate complex technical concepts clearly in written form.
- High attention to detail in checking mathematical derivations and physical system constraints.
- Prior experience with data annotation or evaluation systems is preferred.
- Proficiency in engineering software concepts like SolidWorks, MATLAB, or ANSYS.
Salary (Rate): £60.00 hourly
City: Manchester
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. You’ll challenge advanced language models on topics like fluid dynamics, thermodynamics, structural mechanics, and mechatronics—documenting every failure mode so we can harden model reasoning.
Organization : Alignerr
Position : Mechanical Engineering - AI Data Trainer
Type : Hourly Contract
Compensation : $35–$60 /hour
Location : Remote
Commitment : 10–40 hours/week
What You’ll Do
- Develop Complex Problems: Design advanced mechanical engineering problems across domains like FEA (Finite Element Analysis), heat transfer, kinematics, and material science to test AI performance.
- Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions and "golden responses" that the AI will use as a benchmark for learning.
- Technical Auditing: Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and adherence to engineering standards (e.g., ASME, ISO).
- Refine Reasoning: Identify logical fallacies in AI reasoning—such as incorrect force distributions or energy conservation violations—and provide structured feedback to improve the model's "thinking" process.
Requirements
- Advanced Degree: Masters (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
- Domain Expertise: Strong foundational knowledge in core areas such as solid mechanics, fluid mechanics, CAD/CAM, or manufacturing processes.
- Analytical Writing: The ability to communicate highly technical concepts and complex physical phenomena clearly and concisely in written form.
- Attention to Detail: High level of precision when checking mathematical derivations, unit conversions, and physical system constraints.
- No AI experience required
Preferred
- Prior experience with data annotation, data quality, or evaluation systems
- Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.
Why Join Us
- Competitive pay and flexible remote work.
- Collaborate with a team working on cutting-edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process (Takes 15-20 min)
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.