Freelance Machine Learning AI Trainer (Python)

Mindrift is a global platform connecting domain experts with AI projects from major technology innovators, focused on advancing Generative AI through real-world expertise. This freelance Machine Learning AI Trainer role involves designing computational STEM problems, validating AI-generated solutions using Python, and enhancing model reasoning capabilities. The position is remote, part-time, and project-based, offering flexible collaboration aligned with individual expertise.

Mindrift connects specialized professionals with advanced AI projects aimed at improving Generative AI systems. This freelance Machine Learning AI Trainer opportunity allows experienced experts to design complex computational problems and contribute to enhancing AI reasoning and performance. Engagement is project-based and fully remote.

Responsibilities:
- Design original computational STEM problems that simulate real scientific and machine learning workflows.
- Develop Python-based problems requiring advanced programming and algorithmic solutions.
- Create computationally intensive challenges that cannot be solved manually within reasonable timeframes.
- Construct tasks involving non-trivial reasoning chains and creative problem-solving strategies.
- Verify and validate solutions using Python libraries such as NumPy, Pandas, SciPy, and scikit-learn.
- Document clear problem statements and provide thoroughly verified correct solutions.

Requirements:
- Master’s or PhD degree in Computer Science, Mathematics, Physics, Engineering, or a related STEM discipline.
- Minimum of 5 years of machine learning experience with demonstrated business impact.
- Strong Python programming skills, including NumPy, Pandas, SciPy, and scikit-learn.
- Solid understanding of numerical methods and computational algorithms.
- Research or industry experience in computational problem-solving.
- Advanced English proficiency (C1 or higher) and ability to adapt to complex guidelines.

Benefits:
- Competitive compensation based on expertise and project scope.
- Flexible, part-time freelance structure.
- Opportunity to work on advanced AI initiatives.
- Contribution to shaping the future capabilities of AI systems.

Participation is based on project availability and contributor qualification.