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A prominent AI innovation firm seeks a Machine Learning expert to design computational problems for advanced AI projects. The role is fully remote and part-time, allowing for flexibility around other commitments. Candidates should hold a Master's or PhD in a relevant STEM field, possess at least 5 years of related experience, and demonstrate strong Python programming skills. Compensation can go up to $32/hour, and applicants must have a proven ability in complex problem-solving in a collaborative environment.
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.
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.
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:
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.
Why this freelance opportunity might be a great fit for you?
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.