Mechanical Engineering - AI Data Trainer jobs in United States
cer-icon
Apply on Employer Site
company-logo

Alignerr · 3 days ago

Mechanical Engineering - AI Data Trainer

Alignerr partners with leading AI research teams to build and train cutting-edge AI models. The Mechanical Engineering - AI Data Trainer will design complex mechanical engineering problems and create rigorous solutions to test AI performance, while also evaluating AI-generated logic for accuracy and safety.

Computer Software

Responsibilities

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

Qualification

Mechanical EngineeringFinite Element AnalysisAnalytical WritingCAD/CAMEngineering SoftwareAttention to Detail

Required

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

Benefits

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.

Company

Alignerr

twitter
company-logo
We're looking for experts to help train better AI.

Funding

Current Stage
Early Stage
Company data provided by crunchbase