Mechanical Engineer with Python Experience - Freelance AI Trainer

Mindrift connects specialists with project-based AI opportunities for leading technology companies, focusing on testing, evaluating, and improving AI systems. This freelance Mechanical Engineer role involves designing real-world engineering problems, validating AI-generated solutions, and improving model reasoning using Python-based numerical analysis. The position is part-time, project-based, and suited for experienced engineers seeking flexible, non-permanent work.

Mindrift connects engineering specialists with project-based AI initiatives for leading technology companies. This freelance opportunity enables mechanical engineers to contribute to the evaluation and enhancement of AI systems by applying real-world engineering knowledge and Python-based validation techniques. Participation is project-based and does not constitute permanent employment.

Responsibilities:
- Design graduate- and industry-level mechanical engineering problems grounded in real-world practice.
- Evaluate AI-generated engineering solutions for technical accuracy and logical consistency.
- Validate analytical and numerical outputs using Python libraries such as NumPy, SciPy, and Pandas.
- Improve AI reasoning by aligning outputs with first principles and accepted engineering standards.
- Apply structured scoring frameworks to assess multi-step problem-solving performance.
- Provide detailed feedback to enhance model reliability and technical precision.

Requirements:
- Degree in Mechanical Engineering or related disciplines such as Thermodynamics, Fluid Mechanics, Mechanical Design, or Computational Mechanics.
- Minimum of 3 years of professional mechanical engineering experience.
- Strong written English proficiency (C1/C2 level).
- Demonstrated proficiency in Python for numerical validation and analysis.
- Stable internet connection for remote collaboration.
- Professional certifications or international project experience are advantageous.

Benefits:
- Flexible, project-based engagement structure.
- Competitive compensation with potential incentive payments.
- Opportunity to contribute to advanced AI development initiatives.
- Remote work environment.

This role offers flexible participation based on active project needs and contributor availability.