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Revenue Operations Task Author (AI Training)

Alignerr · Remote · Customer support / ops

Revenue Operations Task Author (AI Training) is an open role at Alignerr, available remotely, with pay listed as $20–$50/hr.

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At a glance

Pay
$20–$50/hrStated by Alignerr
Location
Remote
Listed
Since Oct 4, last confirmed Oct 23

How the pay compares

This role$50
Alignerr median$75
Customer support / ops median$65
All roles median$60

Higher than 32% of the 78 distinct hourly rates advertised for Customer support / ops roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.

From Alignerr’s listing

“Revenue Operations Task Author (AI Training) About the Role Alignerr is building a dataset of expert tasks that train and evaluate advanced AI agents on real enterprise work.”
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Revenue Operations Task Author (AI Training) About the Role 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 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 well suited to experienced RevOps and SalesOps professionals based in London and across the UK who want to bring their enterprise knowledge to the forefront of AI development. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : Flexible Key Responsibilities 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 "good judgment" but a s

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About Alignerr: part of Labelbox. See the full profile →

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Frequently asked questions

How do I apply for the Revenue Operations Task Author (AI Training) role at Alignerr?

Applications go through Alignerr's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Alignerr's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on October 4, 2026 and was still live at the last check.

Is the Revenue Operations Task Author (AI Training) role at Alignerr remote?

Yes - Alignerr lists this role as remote.

What does the Revenue Operations Task Author (AI Training) role at Alignerr pay?

Alignerr lists this role's pay as $20–$50/hr, quoted from the listing rather than estimated.

What kind of work is Revenue Operations Task Author (AI Training)?

Customer support / ops. AI training, evaluation, coding, writing and specialist review

Is Alignerr a legitimate AI-training platform?

Labelbox expert network - and that relationship is rated "Confirmed" here because it can be checked against labelbox.com rather than taken on Alignerr's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.

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