Domain Researcher, Finance

A research role building ways to measure how well AI agents handle financial work. The researcher designs benchmarks, scoring rubrics, and test datasets drawn from enterprise finance, studies where models fail, and writes up findings for researchers, engineers, and product teams. It matters because reliable evaluation shows whether finance-focused AI systems are improving and where they still fall short.

What you would do

• Design evaluation frameworks, benchmark suites, and quality rubrics for financial AI agents
• Conduct original research on financial reasoning and workflow automation
• Curate datasets and test cases reflecting real enterprise finance challenges
• Analyze model failure modes and publish internal findings and best practices

What the listing asks for

• Advanced degree in finance, economics, financial engineering, or a related field (PhD strongly preferred)
• MBA, CFA, or equivalent expertise also considered
• Deep expertise in areas such as capital markets, risk management, or accounting
• Experience with rigorous research or building evaluation frameworks
• Preferred: LLM or AI agent evaluation experience and Python or SQL skills

Suits professionals who hold deep finance expertise, enjoy rigorous research, and want to turn financial judgment into measurable AI benchmarks.

Listed pay: $200,000 to $250,000 a year. Where: Remote. Time: Full-time. Full-time employee role on micro1's own team.

Applications go through micro1's own site. AI Trainer Guide is an independent guide to AI training work, not micro1 or its recruiter. The apply link on our page is a referral link: micro1 may pay us if it hires you, at no cost to you.