Alignerr is building a dataset of expert tasks that train and evaluate advanced AI agents on real enterprise work. As a Task Author for the Sales / Revenue Operations role, you will design and calibrate realistic problems that challenge AI agents performing the kinds of work a revenue operations professional faces daily — reconciling account data across CRM, orders, email, and chat to arrive at one defensible answer.
This is a fully remote, flexible contract role ideal for experienced RevOps and SalesOps professionals in Bangalore's thriving enterprise technology ecosystem who want to shape the future of AI.
Author realistic task prompts grounded in revenue operations scenarios — bookings reconciliation, account discrepancies, fulfillment status, and recognized revenue
Write scoring rubrics that define exactly what a correct answer looks like and how it is evaluated
Set up task environments so an AI agent enters a realistic work situation with the same business systems a human employee would use
Solve each task yourself to validate soundness and confirm the rubric is accurate
Calibrate task difficulty — test tasks against AI models and adjust complexity, ambiguity, or steps until the task reliably challenges the model to the intended degree while remaining objectively gradable
Review and correct AI-drafted task prompts or rubrics when provided
Qualifications
Hands-on experience in revenue operations, sales operations, or a closely related function at an industrial or enterprise company
Deep familiarity with CRM systems (e.g., Salesforce) and the ability to query and interpret account and bookings data
Strong understanding of bookings, fulfillment pipelines, and revenue recognition concepts
Ability to define precise, verifiable correctness criteria — not just "positive judgment" but a standard that can be checked
Iterative mindset: willing to test