Mechanical Engineering
Alignerr • Remote
Education
PhD
Type
Hourly
Pay
$35-60/hr
Your rate depends on your experience and the task.
Listed
Today
Checked
What we know about this role
- Weekly hours
- 10–40 hrs/week
About this role
From the Alignerr listing
What You'll Do
- Design Challenging Problems — Craft advanced mechanical engineering scenarios across domains like FEA, heat transfer, kinematics, and material science to probe AI performance at the edges of its knowledge.
- Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions that serve as ground-truth benchmarks for AI training and evaluation.
- Audit AI Reasoning — Evaluate AI-generated outputs — including CAD logic, thermodynamic proofs, and material specifications — for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO).
- Identify & Correct Failures — Spot logical errors in AI reasoning, such as incorrect force distributions or energy conservation violations, and provide structured feedback to improve model performance.
About the Role
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 expertise in fluid dynamics, thermodynamics, structural mechanics, and beyond will be used to challenge, evaluate, and sharpen how AI reasons through complex engineering problems. This is a unique opportunity to sit at the intersection of engineering and artificial intelligence — no prior AI experience required.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Fully Remote
- Commitment: 10–40 hours/week, flexible schedule
Who You Are
- Advanced Degree: Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline.
- Domain Expert: Strong foundational knowledge in solid mechanics, fluid mechanics, CAD/CAM, thermodynamics, or manufacturing processes.
- Clear Communicator: Able to translate highly technical concepts and complex physical phenomena into precise, well-structured written explanations.
- Detail-Oriented: High precision when reviewing mathematical derivations, unit conversions, and physical system constraints.
- No prior AI or data annotation experience needed — we'll set you up for success.
Nice to Have
- Experience with data annotation, data quality review, or evaluation workflows
- Proficiency with engineering tools such as SolidWorks, MATLAB, or ANSYS
Why Join Us
- Work on the frontier of AI — directly contribute to how the next generation of AI understands engineering and physics
- Fully remote and flexible — work when and where you choose, on your own schedule
- Freelance autonomy — no bureaucracy, just impactful technical work
- Collaborate globally — connect with a diverse, expert community of technical contributors
- Potential for ongoing work — strong performers are considered for contract extensions and new projects
Why this role
- Work on the frontier of AI — directly contribute to how the next generation of AI understands engineering and physics - Fully remote and flexible — work when and where you choose, on your own schedule
Talent pool
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Common questions
How soon can I start earning on Alignerr after passing the assessment?
After you pass, you verify your identity through Persona and set up billing through Deel. Then you wait in a pool, sometimes for weeks or months, until a project that fits your skills starts and assigns you.
Does Alignerr have a trainer community?
Yes. When you join a project, you get Slack channels where admins answer rubric questions and trainers help each other, which helps most when guidelines change mid-project.
What does task-based AI training work look like?
Short, hands-on tasks such as recording videos, sorting images, rating AI answers or checking data. Most take 5 to 60 minutes each.
What does STEM work look like for a Mechanical Engineering?
You check AI answers to STEM questions, correct their errors and write expert reasoning. As a Mechanical Engineering, you're hired for that judgment, so hands-on STEM experience matters.
What specific skills does this listing call for?
Data Annotation is named directly in the listing. If you don't have hands-on experience with this, expect the screening to test for it.
How many hours per week does this role require?
Based on the listing, this role is scoped at 10–40 hours per week. Plan your week around it.
How much does this specific role pay?
This listing is posted at $35-60/hr, an hourly rate. Where you land in the range depends on your background and the assessment. Pay can change after we check the listing, so confirm the rate on the platform's application page.
Is a PhD required?
For this role, yes, or similar professional depth, and the assessment checks it. PhD candidates and people with published research have qualified without the degree.
How do I get approved on Alignerr?
You pass a timed assessment in your field, such as Python, physics or a language. After that you can join paid projects.