Freelance Machine Learning AI Trainer (Python)

Mindrift; Remote; EUR 60.000 - 80.000; Teilzeit

Zusammenfassung

A pioneering AI company is seeking a Machine Learning expert to design computational STEM problems and create Python challenges. With a focus on innovative AI projects, this remote freelance role requires a Master's or PhD in a STEM field and 5+ years of applicable experience. Successful candidates will influence how AI models operate within their expertise while enjoying competitive hourly rates and flexible scheduling.

Leistungen

Competitive pay up to $58/hour

Flexible scheduling

Valuable portfolio experience

Qualifikationen

• 5+ years of experience in Machine Learning with proven business impact.
• Strong programming skills in Python.
• Solid understanding of numerical methods and computational algorithms.

Aufgaben

• Design original computational STEM problems.
• Create problems that require Python programming.
• Document problem statements clearly and provide verified correct answers.

Kenntnisse

Python programming

Computational problem-solving

Numerical methods

Machine Learning

Ausbildung

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

Tools

numpy

pandas

scipy

sklearn

Jobbeschreibung

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 proficiency.

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 projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About the Role

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.

Although every project is unique, you might typically :

• Design original computational STEM problems that simulate real scientific workflows.
• Create problems that require Python programming to solve.
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days / weeks).
• Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.
• Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).
• Document problem statements clearly and provide verified correct answers.

How to get started

Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.

Requirements

• You hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.
• You have at least 5 years of Machine Learning experience with proven business impact.
• Strong programming skills in Python (numpy, pandas, scipy, sklearn).
• Solid understanding of numerical methods and computational algorithms.
• Research or industry experience involving computational problem-solving.
• Your level of English is advanced (C1) or above.
• You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.
• Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.

Benefits

Why this freelance opportunity might be a great fit for you?

• Get paid for your expertise, with rates that can goup to $58 / hour depending on your skills, experience, and project needs.
• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
• Work on advanced AI projects and gain valuable experience that enhances your portfolio.
• Influence how future AI models understand and communicate in your field of expertise.