Aptura works with leading foundational AI labs to bring institutional finance expertise directly into AI model development. The role involves shaping how frontier AI models reason through financial close by designing tasks, writing evaluation rubrics, and reviewing AI-generated entries for accuracy.
Responsibilities:
- Design realistic close and general ledger tasks: the reconciliations, accruals, and intercompany eliminations real teams sweat over at period-end
- Write evaluation rubrics that define what "correct" means — not just a balanced trial balance, but the right call on accruals, cut-offs, and adjustments
- Review AI-generated journal entries, reconciliations, and variance analyses for accuracy and completeness — and catch the errors a reviewer is paid to catch
- Build reference close packages and worked solutions that set the benchmark models are tested against
- Make the reasoning behind each close decision explicit, so a model learns the why — not just the output