Mechanical Engineer, Part-Time AI Engineering Task Authoring - Remote (United States)

OpenTrain AI; United States; Remote; USD 83,000 - 165,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

No commute

Job summary

OpenTrain AI seeks highly qualified mechanical engineers for remote, contractor work. You will be paid per accepted task, at an hourly equivalent of $60–$120, with about 15 hours of work per week and the freedom to choose when you work from anywhere in the United States.

You will create mechanical engineering tasks, build models, run simulations, and craft engineering solutions while clearly explaining any shortcomings of AI-generated work.

Qualifications

• MS or PhD in Mechanical Engineering or related field.
• Experience turning engineering requirements into tasks and models.
• Experience with analytical, computational, or simulation-based methods.
• Working knowledge of Python for solving engineering problems.
• Fluent English and ability to explain AI tooling outputs.

Responsibilities

• Create rigorous mechanical engineering tasks involving design, physical modeling and simulation.
• Build computational models by defining geometry, meshes, materials, loads, contacts and boundary conditions.
• Run simulations and judge whether results meet the physical and design requirements.
• Write and validate engineering solutions, then explain clearly where the AI's work is technically wrong or incomplete.

Skills

Mechanical engineering

Analytical/problem solving

Python programming

English fluency

Education

MS or PhD in Mechanical Engineering

Degree in related engineering discipline

Tools

Python

Job description

$60–$120 per hour equivalent, paid per accepted task

About 15 hours a week, you choose when

Work on the cutting edge of AI engineering, on your own schedule, and get paid for the mechanical engineering judgment you already have.

The AI systems everyone is talking about are trained and tested by real engineers. The teams building them need mechanical engineers who can turn real engineering requirements into difficult tasks, judge whether the AI's models and simulations are physically sound, write the solution a professional engineer would give, and explain exactly where the AI falls short. Your judgment becomes part of how the next generation of AI models handles engineering problems. This is that work, done remotely around your current job.

What you'll do

• Create rigorous mechanical engineering tasks involving design, physical modeling and simulation
• Build computational models by defining geometry, meshes, materials, loads, contacts and boundary conditions
• Run simulations and judge whether the results and analysis meet the physical and design requirements
• Write and validate engineering solutions, then explain clearly where the AI's work is technically wrong or incomplete

Why this is worth your time

• Earn $60–$120 an hour while building real AI skills alongside your current job
• Work directly with frontier AI engineering and simulation tools, experience most mechanical engineers will not have for years
• Build a career edge for what comes next: AI is reshaping mechanical engineering, and the engineers who understand it from the inside will lead that change
• Fully remote, fully flexible, no minimum shift, no commute

Who this is for

• A Mechanical Engineering MS or PhD, a degree in another engineering discipline closely related to it, or strong fundamentals in applied mechanics and mechanical engineering
• Experience developing engineering solutions through analytical, computational or simulation-based methods, plus working knowledge of Python for solving engineering problems
• Practical skill with coding agents and fluent English
• No AI experience needed. You bring the expertise; we bring the training on the tools.

Pay and details

• $60–$120 per hour equivalent; pay is per accepted task, as an independent contractor
• About 15 hours a week, you choose when; fully remote, United States

About OpenTrain AI

OpenTrain AI connects experienced professionals with paid, part‑time AI training work: shaping and improving the AI systems that companies are building right now.