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A leading AI innovation company is seeking contributors for a flexible, project-based role focusing on finance and AI tasks. Ideal candidates will have at least 3 years of finance experience, strong critical thinking skills, and an ability to create complex scenarios for AI systems. This role allows you to work remotely and offers competitive pay, making it an excellent opportunity for professionals looking to enhance their portfolio while working on advanced AI projects.
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.
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?
This is a flexible, project-based opportunity well-suited for:
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.
If you have the relevant experience and are ready to take on this challenging and engaging project, join us!
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.