Mechanical Engineering
Alignerr Corp.
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Benefits offered by this job
Job summary
Alignerr seeks a Mechanical Engineering — AI Trainer to design domain-specific problems, author rigorous solutions, and audit AI reasoning for engineering accuracy. This remote, hourly contract role emphasizes independent work and collaboration with global experts.
Ideal candidates hold advanced degrees in mechanical or aerospace fields, with strong fundamentals in solid/fluid mechanics and thermodynamics, and experience in CAD/CAM tools like SolidWorks, MATLAB, or ANSYS.
Qualifications
- Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
- Strong foundational knowledge in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes.
- Able to communicate complex physical phenomena and technical concepts clearly in writing.
- Highly precise in mathematical derivations, unit conversions, and physical system constraints.
- Self-motivated and comfortable working independently on an async, flexible schedule.
- No prior AI experience required.
Responsibilities
- Design Advanced Engineering Problems across FEA, heat transfer, kinematics, thermodynamics, and material science.
- Author Ground-Truth Solutions with rigorous, step-by-step technical solutions for AI learning and evaluation.
- Audit AI Reasoning for technical accuracy, safety, and compliance with engineering standards (ASME, ISO).
- Refine Model Thinking by identifying flawed reasoning and providing structured feedback to improve model performance.
Skills
Education
Tools
Job description
We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to make it happen. Your deep domain expertise will directly shape how AI reasons through complex engineering problems, from fluid dynamics to structural mechanics.
This is a unique opportunity to apply your engineering knowledge in a new frontier: teaching AI to think like an expert.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Design Advanced Engineering Problems — Create challenging, domain-specific problems across FEA, heat transfer, kinematics, thermodynamics, and material science that push AI to its limits
- Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
- Audit AI Reasoning — Review AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO)
- Refine Model Thinking — Identify flawed reasoning in AI outputs — such as incorrect force distributions, energy conservation violations, or faulty assumptions — and provide structured feedback to improve model performance
- Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
- Strong foundational knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
- Able to communicate complex physical phenomena and technical concepts clearly and concisely in writing
- Highly precise when working through mathematical derivations, unit conversions, and physical system constraints
- Self-motivated and comfortable working independently on an async, flexible schedule
- No prior AI experience required
- Experience with data annotation, data quality review, or evaluation systems
- Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS
- Experience reviewing or auditing technical documentation or engineering workflows
- Work on cutting-edge AI projects with top research labs and AI teams
- Fully remote and flexible — work on your own schedule, 10–40 hours/week
- Freelance perks: autonomy, variety, and collaboration with experts across the globe
- Make a direct, measurable impact on how AI understands engineering
- Potential for ongoing work and contract extension
We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to make it happen. Your deep domain expertise will directly shape how AI reasons through complex engineering problems, from fluid dynamics to structural mechanics.
This is a unique opportunity to apply your engineering knowledge in a new frontier: teaching AI to think like an expert.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Design Advanced Engineering Problems — Create challenging, domain-specific problems across FEA, heat transfer, kinematics, thermodynamics, and material science that push AI to its limits
- Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
- Audit AI Reasoning — Review AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO)
- Refine Model Thinking — Identify flawed reasoning in AI outputs — such as incorrect force distributions, energy conservation violations, or faulty assumptions — and provide structured feedback to improve model performance
- Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
- Strong foundational knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
- Able to communicate complex physical phenomena and technical concepts clearly and concisely in writing
- Highly precise when working through mathematical derivations, unit conversions, and physical system constraints
- Self-motivated and comfortable working independently on an async, flexible schedule
- No prior AI experience required
- Experience with data annotation, data quality review, or evaluation systems
- Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS
- Experience reviewing or auditing technical documentation or engineering workflows
- Work on cutting-edge AI projects with top research labs and AI teams
- Fully remote and flexible — work on your own schedule, 10–40 hours/week
- Freelance perks: autonomy, variety, and collaboration with experts across the globe
- Make a direct, measurable impact on how AI understands engineering
- Potential for ongoing work and contract extension
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