What if your finance and accounting expertise could directly shape how AI handles real enterprise financial work? Alignerr is building a dataset of expert tasks that train and evaluate advanced AI agents on accounting reconciliation — and we're looking for experienced finance professionals in India to help design them.
As a Task Author, you will create realistic, numerically rigorous accounting scenarios — billing versus revenue reconciliation, payment-to-invoice matching, margin report analysis — that genuinely challenge capable AI agents while remaining objectively scorable.
This is a fully remote, flexible contract role open to accountants, finance analysts, and related professionals. No AI background required — just deep finance expertise.
Author realistic task prompts centered on accounting reconciliation: matching payments to invoices, reconciling billing against recognized revenue, and analyzing margin reports
Write scoring rubrics that specify exact numerical outcomes and the reasoning steps required to reach them
Set up task environments with the financial data, documents, and system states needed to replicate a realistic accounting scenario
Solve each task yourself to validate that the numbers work and the rubric is correct
Calibrate task difficulty — adjust data complexity, ambiguity in source documents, or required reasoning steps until the task reliably challenges the model to the intended degree
Review and correct AI-drafted task prompts or rubrics when provided
Qualifications
Hands-on experience as an accountant, finance analyst, or in a closely related role
Solid, precise numerical reasoning and demonstrated ability to work through multi-step reconciliation problems
Solid knowledge of revenue recognition principles, matching rules, and standard accounting workflows
Ability to define verifiable correctness criteri