Mechanical Engineering & AI Data Trainer

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

Job summary

A leading AI technology firm is seeking a Mechanical Engineering - AI Data Trainer to design advanced engineering problems and create technical solutions for AI benchmarks. This remote role requires a Master's or PhD in Mechanical or Aerospace Engineering and a strong foundation in mechanics. The successful candidate will also evaluate AI logic and provide feedback to improve model reasoning. This position offers competitive pay and the flexibility of remote work, with potential for contract extension.

Benefits

Competitive pay

Flexible remote work

Collaboration on cutting-edge AI projects

Freelance perks: autonomy and flexibility

Exposure to advanced LLMs

Qualifications

• Masters (pursuing or completed) or PhD in Mechanical Engineering or a related field required.
• Ability to communicate technical concepts clearly.
• High precision in checking mathematical derivations and physical system constraints.

Responsibilities

• Design advanced mechanical engineering problems to test AI performance.
• Create rigorous, step-by-step technical solutions for AI benchmarks.
• Evaluate AI-generated logic and technical accuracy.

Skills

Strong foundational knowledge in solid mechanics

Strong foundational knowledge in fluid mechanics

Analytical writing

Attention to detail

Education

Masters or PhD in Mechanical Engineering or Aerospace Engineering

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.