Mechanical Engineering & AI Data Trainer

Alignerr Corp.; Remote; GBP 60,000 - 80,000; Part time

Job summary

A leading AI training organization is looking for a Mechanical Engineering - AI Data Trainer. This remote position involves designing complex engineering problems and creating detailed technical solutions for AI performance evaluation. Candidates should have a Master's or PhD in Mechanical Engineering or related fields, alongside strong analytical writing skills and attention to detail. The role offers competitive hourly pay and the opportunity for contract extension.

Benefits

Competitive pay

Flexible remote work

Autonomy and global collaboration

Exposure to advanced AI projects

Qualifications

• Strong foundational knowledge in solid mechanics, fluid mechanics, or manufacturing processes.
• High level of precision in checking mathematical derivations and unit conversions.
• No AI experience required but a strong engineering background is essential.

Responsibilities

• Design advanced mechanical engineering problems to test AI performance.
• Create rigorously detailed technical solutions for AI benchmarks.
• Evaluate AI-generated CAD logic and thermodynamic proofs for technical accuracy.

Skills

Analytical Writing

Attention to Detail

Domain Expertise

Education

Master's or PhD in Mechanical Engineering or related field

Tools

SolidWorks

MATLAB

ANSYS

Job description

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.

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

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.