Mechanical Engineer AI Contractor - $60-$120/hr

True Talent Solutions Partners; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

True Talent Solutions Partners is seeking a Mechanical Engineer AI Contractor for a remote, part-time role. Compensation ranges from $60 to $120 per hour, with an approximate commitment of 15 hours per week.

The project focuses on AI-driven evaluation and generation of mechanical engineering content for LLM improvement, requiring strong expertise in mechanical engineering and Python. Candidates should hold an MSc or PhD in Mechanical Engineering or a closely related field and have proven

Qualifications

• An MSc or PhD in Mechanical Engineering or closely related field.
• Experience developing analytical, computational, or simulation-based engineering solutions.
• Experience solving and validating mechanical engineering problems in design, analysis, simulation, testing, or R&D.
• Experience translating engineering requirements into models and working with geometry, meshes, materials, loads, contacts, constraints, and solver inputs.
• Practical proficiency with coding agents and Python.

Responsibilities

• Solve and validate mechanical engineering problems across design, analysis, simulation, testing, and 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.
• Review engineering artifacts and analyses against relevant physical and design constraints.

Job description

Mechanical Engineer AI Contractor - $60-$120/hr - Remote

This is a contract role in the rapidly growing AI training data space - specifically, evaluating and generating high-quality mechanical engineering content for large language model (LLM) improvement. It's a niche intersection of deep engineering expertise and AI tooling.

Compensation context:

At $60-$120/hour, the rate is competitive for senior engineering contractors in the US, though the 15 hrs/week cap limits total income to roughly $46,800-$93,600 annually at full capacity. This is best suited as a supplemental income stream for practicing engineers, academics, or consultants rather than a primary career role.

Skills developed or reinforced:

• Applied AI/LLM evaluation - a highly marketable skill as companies scale AI tools for STEM domains.
• Python proficiency in an engineering context, particularly with coding agents.
• Cross-disciplinary problem formulation: FEA, CAD, simulation validation.

Green flags:

Output-based pay rewards efficiency; flexible schedule suits high performers; exposure to cutting-edge AI training workflows positions you well for future roles in AI-assisted engineering tools.

Red flags to note:

No benefits, no visa sponsorship, part-time only, and no clear path to full-time employment. This is a gig-style contract, not a career ladder opportunity. Best for those already established in mechanical engineering who want to diversify income or explore the AI sector.

Contribute to an AI training project by creating, solving, reviewing, and validating engineering tasks. The work spans engineering design, physical modeling, simulation, technical problem-solving, and Python, helping assess the quality of computational engineering work.

What You'll Do

• Solve and validate mechanical engineering problems across design, analysis, simulation, testing, and research and development.
• Translate physical systems and engineering requirements into analytical or computational models.
• Create or modify geometry, meshes, materials, loads, contacts, constraints, and solver inputs.
• Review engineering artifacts and analyses against relevant physical and design constraints.

What We're Looking For

• An MSc or PhD in Mechanical Engineering or a closely related engineering discipline, or a strong foundation in applied mechanics and mechanical engineering fundamentals.
• Experience developing analytical, computational, or simulation-based engineering solutions.
• Experience solving and validating mechanical engineering problems in design, analysis, simulation, testing, or research and development.
• Experience translating engineering requirements into models and working with geometry, meshes, materials, loads, contacts, constraints, and solver inputs.
• Practical proficiency with coding agents and experience with Python.

Compensation is $60 to $120 per hour. This is output-based contractor work, with payment per task that meets project specifications. The expected commitment is approximately 15 hours per week, with a flexible schedule. Visa sponsorship is not available.

Is this a full-time position or part-time contract? This is a part-time, output-based contractor role with an expected commitment of approximately 15 hours per week. Payment is per task completed, not by the hour. What is the pay rate and how does billing work? The compensation ranges from $60 to $120 per hour, structured as payment per task that meets the project's specifications. There are no guaranteed hours. Can I work from anywhere in the world? The role is fully remote, but it is restricted to US-based workers - visa sponsorship is not available, so you must already have US work authorization. What engineering background is required? An MSc or PhD in Mechanical Engineering (or a closely related field) is preferred, along with hands-on experience in simulation, FEA, CAD modeling, and Python. Are there set working hours or is the schedule flexible? The schedule is flexible with no fixed hours stated, making it well-suited for async work and self-directed time management.

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