Creator (Mechanical Engineering)

TL;DR

Creator (Mechanical Engineering) (AI Training): Designing original computational engineering problems to test and improve AI systems with an accent on Python programming and numerical validation. Focus on creating complex engineering simulations, verifying solutions, and documenting verified answers for AI model training.

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

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 engineering workflows.
• Create problems requiring Python programming to solve engineering calculations and simulations.
• Develop tasks that are computationally intensive and require numerical methods or iterative solutions.
• Build problems involving system design, optimization, and analysis based on real research challenges.
• Verify solutions using Python and standard engineering libraries.
• Document problem statements clearly and provide verified correct answers.

Requirements

• Degree in Mechanical Engineering or related fields.
• Proficiency in Python for numerical validation (or equivalent knowledge of MATLAB, R, C, or SQL).
• 2+ years of professional experience in applied, research, or teaching roles.
• Understanding of practical engineering constraints and approximations.
• English: C1+ proficiency required.
• Location: Must be based in the USA.

Nice to have

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

Culture & Benefits

• Flexible project-based engagement, not permanent employment.
• Part-time workload estimated at 10–20 hours per week during active phases.
• Opportunity to contribute to leading tech companies' AI development.
• Competitive hourly pay based on expertise and contribution pace.

Hiring process

• Application and qualification phase.
• Project onboarding and task completion.