Mechanical Engineering
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Christchurch, England, United Kingdom
Summary: The role of Mechanical Engineering Expert (AI Training) involves leveraging deep technical knowledge in mechanical engineering to train and evaluate AI models. The position focuses on designing complex engineering problems, authoring solutions, auditing AI outputs, and improving AI reasoning. This is a fully remote, flexible contract role that accommodates varying hours per week. No prior AI experience is required, making it accessible to qualified candidates in the field.
Key Responsibilities:
- Design Challenging Problems — Craft advanced mechanical engineering scenarios across domains like FEA, heat transfer, fluid dynamics, kinematics, and material science to rigorously test AI performance.
- Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that AI models use as a gold standard for learning.
- Audit Technical Reasoning — Evaluate AI-generated outputs for accuracy, safety, and compliance with engineering standards.
- Improve AI Thinking — Identify logical errors and provide structured feedback to strengthen the model's reasoning process.
Key Skills:
- Advanced Degree — Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
- Domain Expert — Strong foundational knowledge in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes.
- Clear Communicator — Able to explain complex physical phenomena and technical concepts in precise, well-structured written form.
- Detail-Oriented — High accuracy when checking mathematical derivations, unit conversions, and physical system constraints.
- No prior AI experience required.
- Experience with data annotation, data quality review, or technical evaluation workflows is a plus.
- Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS.
- Familiarity with evaluating or debugging AI-generated code or simulation workflows.
Salary (Rate): £35.00/hr
City: Christchurch
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Mechanical Engineering Expert (AI Training)
About The Role
We're looking for mechanical engineering experts to help train and evaluate cutting-edge AI models. Your deep technical knowledge will directly shape how AI reasons through complex engineering problems — from fluid dynamics to structural mechanics — making a real impact on the next generation of intelligent systems. This is a fully remote, flexible contract role that fits around your schedule. No prior AI experience required.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Challenging Problems — Craft advanced mechanical engineering scenarios across domains like FEA (Finite Element Analysis), heat transfer, fluid dynamics, kinematics, and material science to rigorously test AI performance
- Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that AI models use as a gold standard for learning
- Audit Technical Reasoning — Evaluate AI-generated outputs — including CAD logic, thermodynamic proofs, and material specifications — for accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO)
- Improve AI Thinking — Identify logical errors such as incorrect force distributions or energy conservation violations, and provide structured feedback to strengthen the model's reasoning process
Who You Are
- Advanced Degree — Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
- Domain Expert — Strong foundational knowledge in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
- Clear Communicator — Able to explain complex physical phenomena and technical concepts in precise, well-structured written form
- Detail-Oriented — High accuracy when checking mathematical derivations, unit conversions, and physical system constraints
- No prior AI experience required
Nice to Have
- Experience with data annotation, data quality review, or technical evaluation workflows
- Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS
- Familiarity with evaluating or debugging AI-generated code or simulation workflows
Why Join Us
- Work on pioneering AI projects in collaboration with world-leading research labs
- Fully remote and asynchronous — work on your own schedule from anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Exposure to advanced large language models and how they're trained and evaluated
- Contribute to meaningful work that advances AI's understanding of the physical world
- Potential for ongoing work and contract extension