Mechanical Engineering
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Birmingham, England, United Kingdom
Summary: The Mechanical Engineering - AI Data Trainer role at Alignerr involves developing and evaluating complex mechanical engineering problems to enhance AI models. The position requires creating rigorous solutions and conducting technical audits to ensure accuracy and adherence to engineering standards. Candidates should possess advanced degrees in relevant fields and strong analytical writing skills. The role is remote, offering flexible hours and competitive pay.
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 writing.
- 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/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.