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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: AlignerrType: Hourly ContractLocation: Fully RemoteCommitment: 1040 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 capabilitiesAuthor Ground-Truth Solutions Develop precise, step-by-step technical solutions that serve as gold-standard benchmarks for AI learning and evaluationAudit 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 thinksDocument 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 fieldStrong Domain Expertise Deep knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processesClear Technical Communicator Able to explain complex physical phenomena and mathematical derivations in precise, well-structured written formDetail-Oriented High level of precision when reviewing mathematical derivations, unit conversions, dimensional analysis, and physical system constraintsNo prior AI experience required we'll get you up to speed Nice to Have Experience with data annotation, technical writing, or quality evaluationProficiency in engineering software such as SolidWorks, MATLAB, ANSYS, or similar toolsFamiliarity with FEA workflows, CFD simulation, or mechatronics systems Why Join Us Work on genuinely cutting-edge AI projects alongside world-class research teamsFully remote and flexible work independently on your own scheduleApply your engineering expertise in a novel, intellectually stimulating wayGain rare, hands-on exposure to how advanced large language models are trained and evaluatedFreelance perks: autonomy, variety, and global collaborationPotential for ongoing work and contract extension .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.