Freelance Machine Learning Engineer
Join Mindrift, a platform connecting specialists with cutting-edge AI projects, as a remote, freelance contributor. Engage in projects ranging from designing computational STEM problems to verifying Python-based solutions using numpy, pandas, scipy, and sklearn. Contributors set their schedules and can earn up to $55 per hour, with compensation varying by project scope and requirements.
Applicants must currently reside in the specified country, hold a Master’s or PhD in a STEM field, possess a minimum of five years of Machine Learning experience, and demonstrate advanced English proficiency (C1 or above). Strong Python programming skills, experience with computational problem-solving, and flexibility to learn new methods are required.
This role is ideal for those seeking flexible, part-time work that complements other professional or academic pursuits. Contribute to next-generation AI while expanding your expertise and professional portfolio. Applications are accepted in English, and you must note your English proficiency level.
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.
Compensation
On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
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?
- 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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