Mechanical Engineering - AI Data Trainer
Posted 1 week ago by Alignerr
Negotiable
Undetermined
Remote
Birmingham, England, United Kingdom
Summary: The Mechanical Engineering - AI Data Trainer at Alignerr involves developing complex mechanical engineering problems to test AI performance, authoring ground-truth solutions, and conducting technical audits for AI-generated outputs. The role requires a strong background in mechanical engineering and analytical writing skills to refine AI reasoning. This position is remote and offers flexible hours, allowing for collaboration on cutting-edge AI projects. Candidates should have an advanced degree in a relevant field and a keen attention to detail.
Key Responsibilities:
- Develop Complex Problems: Design advanced mechanical engineering problems across domains like FEA, 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.
- Refine Reasoning: Identify logical fallacies in AI reasoning and provide structured feedback to improve the model's thinking process.
Key Skills:
- Advanced Degree: Masters (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
- Domain Expertise: Strong foundational knowledge in solid mechanics, fluid mechanics, CAD/CAM, or manufacturing processes.
- Analytical Writing: 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.
- Preferred: Prior experience with data annotation, data quality, or evaluation systems.
- Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS).
Salary (Rate): £60.00/hour
City: Birmingham
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.