Data Operations (AI Evaluations) - Internship

Fenmo is building AI co-workers for accounting and finance teams globally. For

these AI agents to be trusted with real-life scenarios and complexities, their

outputs must be checked, challenged, and improved. That's the core of this

role.

We're hiring interns to audit and analyze AI outputs, not just to say 'right'

or 'wrong,' but to identify how they're wrong. You'll be the first to see

where AI goes off-track, and you'll break down these errors so we can refine

prompts, guardrails, and model logic. Please note that this is not a technical

(programming/coding) role; however, you will be expected to understand the

business logic behind the code to its very core.

Selected intern's day-to-day responsibilites include:

1\. Reviewing AI outputs across agentic processes.

2\. Diligently flagging inaccuracies with examples.

3\. Breaking down errors into buckets and categories.

4\. Summarizing error patterns into simple reports for the product team.

The quality of your audit directly improves how our AI learns, which is why it

matters. Without this review, errors stay hidden and product quality stalls.

You can think of it as being the quality filter between what the AI thinks and

what customers see.