AlignerrDomain experts
Sales / Revenue Operations Task Author
up to $50/hr
About this role, in Alignerr's words
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.
What you'll do
Key Responsibilities
- Author realistic task prompts grounded in revenue operations scenarios (bookings reconciliation, account discrepancies, fulfillment status, 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.
Show all 6 itemsHide the other 3 in Key Responsibilities
- 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.
Candidate background
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 standard that can be checked.
- Iterative mindset: willing to test, refine, and re-test until a task is correctly calibrated.
- Comfort operating business communication tools (email, chat) and dashboards as part of multi-system workflows.
Nice to Have
- Experience training or evaluating AI tools in a sales or revenue context.
- Background in enterprise B2B environments with complex deal structures.
- What We Screen For
Quoted from selected sections of Alignerr's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Alignerr's words
Posted by Alignerr, reproduced here so you can judge the role before clicking. Original posting ↗
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 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.
Key Responsibilities
- Author realistic task prompts grounded in revenue operations scenarios (bookings reconciliation, account discrepancies, fulfillment status, 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 standard that can be checked. - Iterative mindset: willing to test, refine, and re-test until a task is correctly calibrated. - Comfort operating business communication tools (email, chat) and dashboards as part of multi-system workflows. Nice to Have
- Experience training or evaluating AI tools in a sales or revenue context. - Background in enterprise B2B environments with complex deal structures. What We Screen For
The strongest candidates have done this job in industry, are comfortable with the everyday software of their domain, and can describe — concretely — how they would build a task that reliably challenges a capable AI agent while remaining clearly and objectively gradable.
Working with AlignerrPay, getting started and work, from Alignerr's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Billed weekly, Monday to Sunday, with approved work paid by the following Friday, according to Labelbox's help center. Payment goes through Stripe Connect or PayPal depending on your location, with one provider per country. intercom.help/labelbox/en/articles/13600616-alignerr-paym..., alignerr.com/process
- Before your first paid task
- Sign up, apply, verify your identity, set up billing and onboard. Some jobs add a Zara AI interview or domain assessments. alignerr.com/process
- How much work
- Time to your first project depends on demand and your skills, and there is no minimum number of hours. alignerr.com/faqs
- Contract
- Independent contractor, under terms with ALIGNERR LLC. alignerr.com/faqs, alignerr.com/privacy
Read on the pages linked above on 24 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
How does the pay compare?Across Domain experts roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Alignerr's posting. How we count.
Pay across the field: Domain experts
Across 692 roles in this field with a stated hourly rate in US dollars, on 18 platforms, the middle half pays $65 to $130 an hour at the top of the range, and the median is $100. This role's top rate, $50, is in the bottom quarter. Of the 259 distinct rates we count, 31 are lower and 219 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr (this platform) | 148 | $24 to $200 · median $80 |
| micro1 | 130 | $28 to $400 · median $110 |
| AfterQuery | 88 | $45 to $175 · median $100 |
| Handshake AI | 79 | $30 to $300 · median $85 |
| Mercor | 78 | $55 to $450 · median $120 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 27 Aug 2026, and still on Alignerr's list when we last read it on 13 Oct 2026.
- The listed pay has not changed since then.
- Posted by Alignerr
- First seen by AIPayList
- Last seen live
- Listing ID
- abace89f-1094-4e49-99ec-9a2d2334a009
Pay as the source states it: “$20-50/hr”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
Keep exploring
More like this
Related field, different requirements. Check each role's own page before you apply.