Mechanical Engineer (AI Trainer)

TL;DR

Mechanical Engineer (AI Trainer): Designing and documenting complex computational engineering problems to train and evaluate AI systems with an accent on Python-based numerical validation and simulation. Focus on creating high-quality, technically rigorous problem statements that simulate real-world engineering workflows and research challenges.

Location: Must be based in the United States (Texas)

Compensation: Up to $69 per hour

Company

hirify.global connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

What you will do

• Design original computational engineering problems that simulate real-world workflows.
• Create problems requiring Python programming for engineering calculations and simulations.
• Ensure problems are computationally intensive and require numerical methods or iterative solutions.
• Develop problems involving system design, optimization, and analysis.
• Verify solutions using Python with standard engineering libraries.
• Document problem statements clearly and provide verified correct answers.

Requirements

• Degree in Mechanical Engineering or related fields.
• 2+ years of professional experience in applied, research, or teaching roles.
• Strong written English (C1+).
• Proficiency in Python for numerical validation or equivalent experience in MATLAB, R, C, or SQL.
• Understanding of practical engineering constraints and approximations.

Nice to have

• Professional certifications such as CMME, SAS, or CAP.
• Experience in international or applied engineering projects.

Culture & Benefits

• Flexible, project-based work arrangement.
• Opportunity to contribute to cutting-edge AI development.
• Estimated workload of 10–20 hours per week during active project phases.

Hiring process

• Submit CV and indicate English proficiency level.
• Pass qualification assessments.
• Join project and begin task completion.