Mechanical Engineering

Alignerr; Sheffield (TX); On-site; USD 48,216 - 82,656; Part time

Benefits offered by this job

Competitive pay

Flexible remote work

Freelance autonomy and flexibility

Job summary

A pioneering AI technology firm is seeking a Mechanical Engineering - AI Data Trainer to develop advanced engineering problems and solutions for AI models. The position requires a Master's or PhD in a relevant field and strong knowledge of solid mechanics and fluid mechanics. Responsibilities include designing testing scenarios and auditing AI logic for accuracy. This is a remote contract role offering flexible hours and competitive pay, ideal for those passionate about AI and engineering.

Qualifications

• Masters or PhD in Mechanical Engineering, Aerospace Engineering, or closely related field required.
• Strong foundational knowledge in solid mechanics, fluid mechanics, CAD/CAM, or manufacturing processes.
• Ability to communicate complex technical concepts clearly.

Responsibilities

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

Skills

Domain Expertise in solid mechanics

Analytical Writing

Attention to Detail

Education

Masters 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.

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.