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A leading AI innovation company is seeking passionate contributors for project-based roles focused on improving AI tools. This flexible, part-time, remote opportunity calls for individuals with a Bachelor's or Master's Degree in Finance and at least 3 years of professional experience. Candidates must possess advanced English skills and be proficient in tools like Excel, R, and Python. Join us to shape the future of AI in your field of expertise while enjoying competitive rates that can go up to $50/hour.
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, launched and powered by Toloka, connects domain experts with cutting‑edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real‑world expertise from across the globe.
We're looking for curious and intellectually proactive contributors, the kind of person who double‑checks assumptions and plays devil's advocate. Whether you are comfortable with ambiguity and complexity, enjoy async, remote, flexible roles, or want to learn how modern AI systems are tested and evaluated, this flexible, project‑based opportunity may be suitable for you:
You will create complex, realistic tasks that push frontier AI agents to their limits. Think scattered data, conditional procedures, and genuine domain expertise required. You'll build a detailed version with objective scoring, then write an ambiguous version intended to train the agent to succeed with less hand‑holding. Real expert complexity only. You're improving the AI tools you'll eventually use yourself.
Apply to this post and get the chance to contribute to projects aligned with your skills, on your own schedule. To begin working in production, you'll need to complete the qualification step and project onboarding, where you will get familiar with the guidelines interface and try your first real task with guidance from our quality team. From creating training prompts to refining model responses, you'll be directly shaping how useful these models become for your own future work.