AI Pilot Operations Associate (freelance) - Remote Eligible

Opportunity At Mindrift

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.

About The Role

Mindrift is looking for passionate freelance contributors to join the Tendem project to help build the future of hybrid agents — where human expertise and AI capabilities work hand in hand. As an AI Agent Assistant, you'll collaborate with large language models (LLMs) that handle repetitive tasks, while you bring the nuance, judgment, and creativity required to deliver high-quality results. In this role, you won't just review what AI produces — you'll work alongside it, shaping and completing outputs so they are accurate, reliable, and ready for real-world application. Your day-to-day may range from fact-checking a scientific claim to curating a dataset, conducting market research, or refining sales leads. This flexible, part-time remote opportunity is ideal for professionals with backgrounds in research, editing, analysis, or related fields who are excited by the possibilities of human-AI collaboration. Your contributions will directly influence how AI systems learn, evolve, and support industries worldwide.

Typical Tasks

1. Deliver well-reasoned, accurate, and clearly written outputs backed by credible sources.
2. Conduct thorough web research to verify information and collect supporting evidence.
3. Collaborate with large language models (LLMs) and internal tools, using them as copilots to complete complex tasks.
4. Design and refine prompts to guide AI toward higher-quality results.
5. Apply best practices for working with LLMs, understanding both their strengths and limitations.
6. Adapt quickly between diverse annotation, research, and analysis tasks while following detailed guidelines.

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.