Mechanical Engineer with Python Experience - Freelance AI Trainer

Mindrift

San Antonio (TX)

Remote

USD 62,508 - 89,027

Part time

14 days+
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Benefits offered by this job

Flexible working hours
Competitive pay
Work on innovative AI projects

Job summary

A leading AI solutions company is looking for an experienced Mechanical Engineer with strong Python skills for a freelance role. You will train AI models on complex mechanical engineering problems and focus on validating solutions using Python libraries. This part-time opportunity allows you to work remotely, with a flexible schedule and competitive pay of up to $55/hour. Ideal candidates should have a relevant degree and significant experience in areas like thermodynamics and fluid mechanics.

Qualifications

  • Advanced English proficiency (C1+).
  • 3+ years of experience in mechanical engineering.
  • Strong ability to design computationally intensive problems.

Responsibilities

  • Design industry-level mechanical engineering problems.
  • Evaluate AI-generated solutions for correctness.
  • Validate results using Python (NumPy, SciPy).

Skills

Python proficiency
Thermodynamics
Fluid Mechanics
Finite Element Analysis (FEA)
Computer-Aided Design (CAD)

Education

Bachelor's, Master's, or PhD in Mechanical Engineering or related field

Job description

Mechanical Engineer with Python Experience - Freelance AI Trainer

1 week ago. Be among the first 25 applicants.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What We Do

The Mindrift platform connects specialists with AI projectsangled from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real‑world expertise across the globe.

The Role

We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real‑world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development.

What You'll Do

You may be asked to:

  • Design graduate‑and industry‑level mechanical engineering problems grounded in real practice
  • Evaluate AI‑generated solutions for correctness, assumptions, and engineering logic
  • Validate analytical or numerical results using Python (NumPy, SciPy, Pandas)
  • Improve AI reasoning to align with first principles and accepted engineering standards
  • Apply structured scoring criteria to assess multi‑step problem solving
How To Apply

Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization.

Effort estimate.feasible

Tasks for this project are estimated to take 6-10 hours to complete, depending on complexity. This is an estimate and prick schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Requirements
  • Bachelor's, Master's, or PhD in Mechanical Engineering or closely related field
  • Strong Python proficiency for numerical validation
  • 3+ years professional or advanced academic experience in one or more of:
    • Thermodynamics, Heat Transfer, Fluid Mechanics
    • Solid Mechanics, Dynamics & Vibration
    • Mechanical Design, Machine Elements
    • FEA, CFD, Computational Mechanics
    • Manufacturing Processes, CAD/CAE, Thermal Systems
  • Advanced English proficiency (C1+)
  • Strong Python proficiency for numerical validation
  • Ability to design non‑trivial, computationally intensive problems
Why Join
  • Earn up to $55/hour for yourાળો expertise
  • Fully remote, flexible, part-time freelance work
  • Contribute to how future AI systems reason about mechanical вын Engineering
  • Work on technically rigorous, non‑routine problems
Seniority level
  • Mid‑Senior level
Employment type
  • Part‑time
Job function
  • Other
Industries
  • IT Services and IT Consulting
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