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A flexible project-based AI consultancy is seeking candidates for part-time roles that involve creating complex tasks for AI systems. Ideal applicants hold a higher degree in Economics or a related field and have strong analytical skills. Successful candidates will engage in innovative AI projects on their own schedule while being compensated for their expertise, with rates up to $21/hour depending on experience. Excellent English proficiency and experience with AI-generated content are key to this opportunity.
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.
Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated?
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'll 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'd be directly shaping how useful these models become for your own future work.