Mechanical Engineering
Alignerr • Remote
Education
Any
Type
Pay Rate
$47.5/task
Listed
Today
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About this Role
What You'll Do
- 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
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 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
Who You Are
- 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
Nice to Have
- 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
Why Join Us
- 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
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Mathematics
Compensation Analysis
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
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Frequently Asked Questions
What is the assessment actually like?
Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests — a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.
How quickly can I start earning after I pass?
Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.
Is there a community?
Yes — and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the barrier to entry?
Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.