AlignerrCoding & software eval
Mechanical Engineering
up to $60/hr
About this role, in Alignerr's words
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. As an AI Trainer, you'll use your deep domain knowledge to challenge, test, and refine how AI reasons through complex engineering problems.
What you'll do
- Design Complex Engineering Problems — Craft advanced, multi-step problems spanning fluid dynamics, thermodynamics, structural mechanics, FEA, heat transfer, kinematics, and materials science to rigorously stress-test AI capabilities
- Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions that serve as gold-standard benchmarks for AI learning and evaluation
- Audit AI Reasoning — Review and evaluate AI-generated outputs — including CAD logic, thermodynamic proofs, and material specifications — for technical accuracy, physical validity, and adherence to engineering standards (e.g., ASME, ISO)
Show all 5 itemsHide the other 2 in What you'll do
- Identify & Correct Reasoning Failures — Spot logical errors such as incorrect force distributions, energy conservation violations, or flawed unit analysis, and provide structured feedback to improve how the model thinks
- Document Failure Modes — Systematically record model weaknesses to help research teams harden AI reasoning across mechanical engineering domains
Candidate background
Who You Are
- Advanced Degree — Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
- Strong Domain Expertise — Deep knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
- Clear Technical Communicator — Able to explain complex physical phenomena and mathematical derivations in precise, well-structured written form
- Detail-Oriented — High level of precision when reviewing mathematical derivations, unit conversions, dimensional analysis, and physical system constraints
- No prior AI experience required — we'll get you up to speed
Nice to Have
Show all 3 itemsHide these 3 items in Nice to Have
- Experience with data annotation, technical writing, or quality evaluation
- Proficiency in engineering software such as SolidWorks, MATLAB, ANSYS, or similar tools
- Familiarity with FEA workflows, CFD simulation, or mechatronics systems
Quoted from selected sections of Alignerr's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Alignerr's words
Posted by Alignerr, reproduced here so you can judge the role before clicking. Original posting ↗
Mechanical Engineering – AI Trainer
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. As an AI Trainer, you'll use your deep domain knowledge to challenge, test, and refine how AI reasons through complex engineering problems.
This is a unique opportunity to work at the intersection of engineering and artificial intelligence, contributing directly to the next generation of technical AI systems — all on a flexible, remote contract basis.
- Organization: Alignerr - Type: Hourly Contract - Location: Fully Remote - Commitment: 10–40 hours/week
What You'll Do
* Design Complex Engineering Problems — Craft advanced, multi-step problems spanning fluid dynamics, thermodynamics, structural mechanics, FEA, heat transfer, kinematics, and materials science to rigorously stress-test AI capabilities * Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions that serve as gold-standard benchmarks for AI learning and evaluation * Audit AI Reasoning — Review and evaluate AI-generated outputs — including CAD logic, thermodynamic proofs, and material specifications — for technical accuracy, physical validity, and adherence to engineering standards (e.g., ASME, ISO) * Identify & Correct Reasoning Failures — Spot logical errors such as incorrect force distributions, energy conservation violations, or flawed unit analysis, and provide structured feedback to improve how the model thinks * Document Failure Modes — Systematically record model weaknesses to help research teams harden AI reasoning across mechanical engineering domains
Who You Are
* Advanced Degree — Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field * Strong Domain Expertise — Deep knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes * Clear Technical Communicator — Able to explain complex physical phenomena and mathematical derivations in precise, well-structured written form * Detail-Oriented — High level of precision when reviewing mathematical derivations, unit conversions, dimensional analysis, and physical system constraints * No prior AI experience required — we'll get you up to speed
Nice to Have
* Experience with data annotation, technical writing, or quality evaluation * Proficiency in engineering software such as SolidWorks, MATLAB, ANSYS, or similar tools * Familiarity with FEA workflows, CFD simulation, or mechatronics systems
Why Join Us
* Work on genuinely cutting-edge AI projects alongside world-class research teams * Fully remote and flexible — work independently on your own schedule * Apply your engineering expertise in a novel, intellectually stimulating way * Gain rare, hands-on exposure to how advanced large language models are trained and evaluated * Freelance perks: autonomy, variety, and global collaboration * Potential for ongoing work and contract extension
Working with AlignerrPay, getting started and work, from Alignerr's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Billed weekly, Monday to Sunday, with approved work paid by the following Friday, according to Labelbox's help center. Payment goes through Stripe Connect or PayPal depending on your location, with one provider per country. intercom.help/labelbox/en/articles/13600616-alignerr-paym..., alignerr.com/process
- Before your first paid task
- Sign up, apply, verify your identity, set up billing and onboard. Some jobs add a Zara AI interview or domain assessments. alignerr.com/process
- How much work
- Time to your first project depends on demand and your skills, and there is no minimum number of hours. alignerr.com/faqs
- Contract
- Independent contractor, under terms with ALIGNERR LLC. alignerr.com/faqs, alignerr.com/privacy
Read on the pages linked above on 24 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
How does the pay compare?Across Coding & software eval roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Alignerr's posting. How we count.
Pay across the field: Coding & software eval
Across 393 roles in this field with a stated hourly rate in US dollars, on 14 platforms, the middle half pays $65 to $120 an hour at the top of the range, and the median is $95. This role's top rate, $60, is in the bottom quarter. Of the 141 distinct rates we count, 26 are lower and 108 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr (this platform) | 136 | $50 to $400 · median $100 |
| micro1 | 46 | $35 to $350 · median $110 |
| Handshake AI | 43 | $47 to $125 · median $80 |
| Meridial (Invisible) | 34 | $22 to $150 · median $60 |
| Mercor | 33 | $60 to $200 · median $105 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 27 Aug 2026, and still on Alignerr's list when we last read it on 13 Oct 2026.
- The listed pay has not changed since then.
- Posted by Alignerr
- First seen by AIPayList
- Last seen live
- Listing ID
- 063ce02f-45f6-44bb-b81e-cafbe8df98c2
Pay as the source states it: “$35-60/hr”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
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