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Alpheva ai
Actively Hiring
Expert-driven data, environments, and evaluations for frontier AI models

Mechanical Engineering Expert - AI Model Evaluation

  • $30k – $80k • No equity
  • |Remote (
    Everywhere
    )
  • |3 years of exp
  • |Full Time
Posted: yesterday• Recruiter recently active
Hires remotely in
Everywhere
Remote Work Policy

Remote only

Company Location
Visa Sponsorship

Not Available

RelocationNot Allowed
Skills
Mechanical Engineering
Hiring contact
Ramakant Gupta
Employee
San Francisco
image

About the job

Get paid to help build better AI.

Alpheva AI (www.Alpheva.ai), the Silicon Valley company that is building intelligence behind frontier AI, is looking for experienced mechanical engineering professionals to participate in paid, project-based work that helps train and evaluate the next generation of AI systems.

You work remotely and asynchronously on projects that fit around your existing schedule.

Your mechanical engineering expertise becomes the signal that helps AI systems learn what accurate, rigorous, and professionally sound engineering work actually looks like.

IMPORTANT: To be considered, Apply directly through: https://alpheva.ai/experts/

What you'll do

Depending on the project, you may:

  • Analyze: Review engineering problems, designs, calculations, specifications, technical drawings, and mechanical systems.
  • Evaluate: Review AI-generated engineering solutions, calculations, designs, explanations, and reasoning.
  • Validate: Determine whether AI-generated engineering outputs are technically accurate, logically sound, and consistent with engineering principles.
  • Review: Assess mechanical designs, engineering calculations, simulations, material selections, system requirements, and technical documentation.
  • Reason: Solve realistic mechanical engineering problems and explain how an experienced engineer would approach them.
  • Compare solutions: Assess multiple AI-generated engineering solutions and identify meaningful differences in accuracy, efficiency, safety, reasoning, and professional judgment.
  • Create evaluations: Develop challenging mechanical engineering tasks and criteria for measuring AI systems.
  • Provide expert judgment: Identify errors, incorrect assumptions, design weaknesses, inconsistencies, and technical risks in AI-generated engineering work.

Projects may involve mechanical design, thermodynamics, fluid mechanics, heat transfer, materials, manufacturing, machine design, robotics, dynamics, control systems, CAD, simulation, and other areas depending on your expertise.

Who we're looking for

We're looking for experienced mechanical engineering professionals, not necessarily AI researchers.

You should have:

  1. 3+ years of professional experience in mechanical engineering or a related field
  2. Strong engineering and analytical reasoning skills
  3. Experience working with real-world engineering problems and systems
  4. Ability to evaluate engineering analysis, designs, and conclusions critically
  5. Strong attention to detail
  6. Ability to identify errors, inconsistencies, incorrect assumptions, and technical limitations
  7. Strong professional judgment
  8. Ability to clearly explain why an engineering solution is correct or incorrect
  9. Experience with any of the following is valuable:
  10. Mechanical design and machine design
  11. CAD and engineering drawings
  12. Thermodynamics
  13. Fluid mechanics
  14. Heat transfer
  15. Materials and material selection
  16. Manufacturing and production
  17. Mechanical systems and equipment
  18. Robotics and automation
  19. Dynamics and vibration
  20. Engineering simulation and analysis
  21. Product development
  22. Engineering standards and specifications
  23. PE, Chartered Engineer, or equivalent professional qualification
  24. You do not need prior experience working in AI.

What matters most is that you know how to do mechanical engineering work well.

You might be asked to:

Review an AI-generated mechanical engineering solution and identify the issues.

Evaluate whether an engineering calculation is technically correct and identify incorrect assumptions.

Review a mechanical design and assess whether it satisfies the stated requirements.

Compare two AI-generated engineering solutions and determine which is stronger.

Evaluate an AI-generated analysis involving thermodynamics, fluid mechanics, materials, or mechanical systems.

Analyze a realistic engineering scenario and explain your reasoning.

Identify calculation errors, design weaknesses, inconsistencies, or unsupported conclusions.

Evaluate whether an AI-generated engineering recommendation is technically feasible.

Create challenging mechanical engineering problems that can be used to evaluate AI systems.

The goal is not simply to determine whether engineering work looks reasonable.

The goal is to capture the judgment an experienced mechanical engineer uses to determine whether engineering work actually makes sense.

Compensation

Paid project-based work.

Rates vary based on your experience, specialization, and project requirements. Your applicable rate and project scope will be shown before you commit to a project.

Some projects are short assignments. Others may involve recurring work over a longer period.

There is no fixed schedule and no minimum commitment.

Work arrangement

  • Remote
  • Asynchronous
  • Project-based
  • Flexible hours
  • Work around your existing job or commitments
  • Paid for qualifying project work

But producing a plausible-looking engineering answer is not the same as demonstrating strong engineering judgment.

AI needs to learn how experienced mechanical engineers:

  • Analyze engineering problems
  • Apply fundamental engineering principles
  • Evaluate calculations and assumptions
  • Assess mechanical designs
  • Select appropriate materials and methods
  • Evaluate safety, feasibility, and performance
  • Interpret technical specifications and requirements
  • Identify errors and inconsistencies
  • Recognize important edge cases
  • Compare engineering solutions
  • Explain technical conclusions clearly
  • Determine when engineering analysis is actually reliable

That's where you come in.

Your mechanical engineering expertise helps shape how AI learns to reason about engineering.

How it works

  1. Apply

Tell us about your mechanical engineering background, experience, qualifications, and areas of expertise.

  1. Get qualified

Complete a short assessment designed around the type of mechanical engineering work you'll perform.

  1. Get matched

When your experience matches an active project, we'll share the scope, requirements, and compensation.

  1. Do the work

Complete projects remotely and asynchronously.

  1. Get paid

Receive the agreed rate for your completed work.

Help teach AI how great mechanical engineers actually work.

Apply directly through: https://alpheva.ai/experts/

About the company

Alpheva ai company logo

Alpheva ai

Actively Hiring
More jobs
Expert-driven data, environments, and evaluations for frontier AI models11-50 Employees
Learn more about Alpheva ai image

Funding

AMOUNT RAISED
$5M
FUNDED OVER
1 round
Round
A
$5000000
Series A - Jan 2026

Perks

Flexible Remote Work
Work from where you are most productive, with the flexibility and autonomy to do your best work while staying closely connected with the team.
Flexible Time Off
Take the time you need to recharge and do your best work, with a flexible approach to time away.
Learn at the Frontier of AI
Work on challenging problems at the intersection of frontier AI, expert knowledge, data, and evaluation, with opportunities to continuously learn and grow.

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