Remote ML/GenAI Problem Designer (Python)

Mindrift; Remote; PLN 180,000 - 240,000; Part time

Job summary

A leading AI technology firm is seeking a Freelance Machine Learning AI Trainer (Python) to design advanced computational problems at the intersection of AI and STEM. In this fully remote position, you'll leverage your expertise and over 5 years of experience to influence Generative AI projects. The ideal candidate will have a relevant Master's or PhD, strong Python programming skills, and a solid understanding of numerical methods. You'll help shape the future of AI while enjoying flexible, part-time work.

Benefits

Competitive pay up to $34/hour

Flexible part-time schedule

Work on advanced AI projects

Gain valuable portfolio experience

Qualifications

• Master's or PhD in a relevant STEM field is required.
• 5+ years of experience in Machine Learning with demonstrated business impact.
• Advanced English (C1) proficiency or above.

Responsibilities

• Design computational STEM problems simulating scientific workflows.
• Create problems requiring Python solutions.
• Ensure computational problems cannot be solved manually in a reasonable timeframe.
• Develop non-trivial reasoning chains and creative problem-solving approaches.
• Verify solutions using Python libraries and document clearly.

Skills

Python programming (numpy, pandas, scipy, sklearn)

Numerical methods and computational algorithms

Machine Learning experience

Research or industry experience

Ability to learn new methods quickly

Education

Master's or PhD Degree in Computer Science, Mathematics, Physics, Engineering

Job description

A leading AI technology firm is seeking a Freelance Machine Learning AI Trainer (Python) to design advanced computational problems at the intersection of AI and STEM. In this fully remote position, you'll leverage your expertise and over 5 years of experience to influence Generative AI projects. The ideal candidate will have a relevant Master's or PhD, strong Python programming skills, and a solid understanding of numerical methods. You'll help shape the future of AI while enjoying flexible, part-time work.