Freelance Machine Learning Engineer (Python)
Mindrift offers a fully remote, freelance opportunity for STEM professionals to contribute to advanced AI initiatives. Collaborate on innovative projects from anywhere, designing and verifying challenging computational problems for generative AI systems. Work is part-time, allowing for schedule flexibility, and compensation can reach up to $46/hour depending on experience. Benefits include flexible workload, portfolio enhancement, and the chance to influence the next generation of AI models.
Candidates should reside in the specified country and possess a Master’s or PhD in Computer Science, Mathematics, Physics, Engineering, or related field, with 5+ years in Machine Learning. Proficiency in Python (numpy, pandas, scipy, sklearn), advanced English (C1+), and strong computational and problem-solving skills are essential. Industry, research, and experience creating or verifying complex programming tasks are valued.
Applicants must indicate their English proficiency and submit their resume in English. Location will impact eligibility and rates for this position. This role is ideal for those seeking meaningful, flexible work with a tangible impact on technological progress.
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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