Focus will be on analytical tools development, working with engineers and data scientists around the company to improve the usability of the take-up and loan cashflow models. Engage with other stakeholders around Affirm to tailor models to the needs of Merchant Pricing, Credit, Applied Machine Learning, Finance, and other stakeholders. The ideal candidate will have strong analytical and problem solving skills with solid knowledge of analytical tools.
As the Data Operations Analyst at CO:CREATE, you’ll play a foundational role in building out the data infrastructure that powers our product, operations, and artist experience. You’ll serve as the company’s go-to for trustworthy, actionable data. Your work will equip every team at CO:CREATE with the clarity and confidence they need to move fast, stay aligned, and build something remarkable for the world’s top tattoo artists.
As an Expert, act as a subject‑matter “teacher” for the model by writing & solving problems in Finance, designing rubrics that define what a perfect answer looks like, grading model outputs, pinpointing gaps in logic, ethics, or clarity and coaching the model to self‑evaluate, reason step‑by‑step, and unlock creativity. You’ll collaborate with fellow expert trainers, quality analysts, and AI researchers—directly shaping how cutting‑edge AI understands and reasons in the field of Finance.
You will teach the Cohere model how to perform across a variety of different functions and logic, focusing on financial modelling and finance-based questions. This role involves labeling, ranking, auditing, and correcting text output to improve Large Language Model’s performance. As an AI Data Trainer, you will evaluate the model’s ability to respond to financial queries, write financial prompts, and improve machine-written and human-written financial outputs.