AI training contract
Mechanical Engineering Expert
Other · Advertised USD 80-150 an hour. · 100 openings
Mechanical Engineering Expert is contract work for micro1, reviewing and correcting what AI models produce in other. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. This role is gated on phd or academic credential. Applications without it are not considered, and the requirement is stated here because the original advert usually carries it well below the rate.
What it pays. micro1 advertises USD 80 to USD 150 an hour. It also states that pay is output based, paid per task that meets the project specifications, so the hourly figure is an advertised equivalent and not a guaranteed wage.
Where. The listing says this role is global and fully remote. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. That rule comes from micro1's own FAQ at www.micro1.ai/experts, read on 2026-09-18. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 100 openings on this role.
Skills named: Python, Mechanical Engineering.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Pay: $80–$150/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are looking for a highly skilled Mechanical Engineering Expert to contribute to an AI training project involving engineering design, physical modeling, simulation, technical problem-solving, and Python. The work involves creating, solving, reviewing, and validating engineering tasks across structural, thermal, mechanical, and multiphysics domains. A representative task may require translating physical requirements into a computational model, generating the required geometry or mesh, applying materials and boundary conditions, running an engineering simulation, and determining whether the resulting artifact and analysis satisfy the applicable physical and design constraints. This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow. What You’ll Work On Solve and validate mechanical-engineering problems involving design, analysis, simulation, testing, or R&D. Translate physical systems and engineering requirements into analytical or computational models. Create or modify geometry, meshes, materials, loads, contacts, constraints, and solver inputs. Perform structural, thermal, dynamic, fatigue, buckling, vibration, or related analyses. Use Python to automate model preparation, simulation, parameter sweeps, optimization, postprocessing, and verification. Required Qualifications An MS or PhD in Mechanical Engineering or a closely related engineering discipline; or A BS in Mechanical Engineering plus at least 1–2 years of relevant professional experience in mechanical design, analysis, simulation, testing, or R&D. Strong understanding of applied mechanics and mechanical-engineering fundamentals. Experience developing analytical, computational, or simulation-based engineering solutions. Practical proficiency with Python and coding agents. Relevant tools may include CalculiX, Gmsh, Elmer, FEniCSx, CadQuery, OpenSCAD, OpenFOAM , or similar programmatic engineering software. Experience with an equivalent CLI-accessible tool is acceptable. Relevant Python tools may include NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter , CAD or meshing APIs, finite-element libraries, optimization packages, or domain-specific scientific tools. No single library is mandatory. Process Apply to the role and complete the screening questions. Complete an AI interview of approximately 30 minutes. Complete the hiring manager review. Compensation Structure Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.