Mechanical Engineering Expert - AI Content Specialist
Alignerr · Remote · Writing / editing
Mechanical Engineering Expert - AI Content Specialist is an open role at Alignerr, available remotely, with pay listed as $35–$60/hr.
Applications open on Alignerr’s own site. How we make money.
At a glance
- Pay
- $35–$60/hrStated by Alignerr
- Location
- Remote
- Work type
- Writing / editing
- Field
- Science / STEM
- Listed
- Since Oct 4, last confirmed Oct 22
How the pay compares
Higher than 23% of the 117 distinct hourly rates advertised for Science / STEM roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From Alignerr’s listing
“Mechanical Engineering Expert — AI Training Specialist About the Role We're looking for mechanical engineering experts to help train and improve some of the world's most advanced AI models.”
Show the full listing
Mechanical Engineering Expert — AI Training Specialist About the Role We're looking for mechanical engineering experts to help train and improve some of the world's most advanced AI models. Working with Alignerr, you'll put your deep technical knowledge to work — designing complex engineering problems, authoring rigorous solutions, and auditing AI reasoning across domains like fluid dynamics, thermodynamics, structural mechanics, and mechatronics. This is a unique opportunity to sit at the intersection of engineering and artificial intelligence, directly shaping how the next generation of AI understands and reasons through real-world technical challenges. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10–40 hours/week What You'll Do Design Complex Engineering Problems — Craft advanced, multi-domain mechanical engineering challenges covering areas like FEA (Finite Element Analysis), heat transfer, kinematics, and material science to rigorously stress-test AI performance. Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and "golden responses" that serve as the benchmark for AI learning and evaluation. Audit Technical Reasoning — Review AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety compliance, and adherence to engineering standards (e.g., ASME, ISO). Refine AI Thinking — Identify logical errors in AI-generated reasoning — such as incorrect force distributions, energy conservation violations, or flawed material assumptions — and provide structured, actionable feedback to improve model quality. Who You Are Advanced Degree — Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related engineering discipline. Strong Domain Knowledge — Deep expertise in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes. Clear Technical Communicator — Able to exp
About Alignerr: part of Labelbox. See the full profile →
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Frequently asked questions
How do I apply for the Mechanical Engineering Expert - AI Content Specialist role at Alignerr?
Applications go through Alignerr's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Alignerr's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on October 4, 2026 and was still live at the last check.
Is the Mechanical Engineering Expert - AI Content Specialist role at Alignerr remote?
Yes - Alignerr lists this role as remote.
What does the Mechanical Engineering Expert - AI Content Specialist role at Alignerr pay?
Alignerr lists this role's pay as $35–$60/hr, quoted from the listing rather than estimated.
What kind of work is Mechanical Engineering Expert - AI Content Specialist?
Writing / editing. AI training, evaluation, coding, writing and specialist review
Is Alignerr a legitimate AI-training platform?
Labelbox expert network - and that relationship is rated "Confirmed" here because it can be checked against labelbox.com rather than taken on Alignerr's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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