Freelance Machine Learning Engineer (Python)
Mindrift offers a fully remote, freelance role for candidates currently residing in the specified country, enabling you to collaborate on advanced AI projects with leading tech companies. As part of Mindrift’s specialist platform, you will design and verify computational STEM problems, develop complex Python-based solutions, and document detailed problem statements. This flexible position provides up to $46/hour, fitting part-time work around your schedule while expanding your AI experience and portfolio.
Ideal applicants have a Master’s or PhD in a STEM field, at least 5 years’ experience in Machine Learning, and advanced Python programming skills, particularly with numpy, pandas, scipy, and sklearn. Strong abilities in computational problem-solving and advanced English proficiency (C1) are required. Candidates should demonstrate adaptability and a readiness to engage with complex project guidelines.
To apply, submit your resume in English and indicate your English proficiency. Please note, eligibility and rates depend on your current location. This is an opportunity to directly influence the future of Generative AI, working with global experts and major innovators.
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.
- 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.
Why this freelance opportunity might be a great fit for you?
- Get paid for your expertise, with rates that can go up to $46/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.
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