AlignerrDomain experts
Customer Support Task Author (AI Training)
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 Customer Support / Success role, you will design and calibrate end-to-end support triage tasks — reading a ticket, checking account configuration, searching runbooks, and deciding between fix and escalation — that reflect the real judgment calls experienced support professionals make under ambiguity.
What you'll do
Key Responsibilities
- Author realistic support task prompts: customer issue triage, account configuration checks, runbook lookup, and fix-versus-escalation decisions.
- Write scoring rubrics that define the correct routing decision, resolution path, or escalation criteria in terms that can be objectively checked.
- Set up task environments with ticket queues, account records, runbooks, and system states that replicate a genuine support scenario.
Show all 6 itemsHide the other 3 in Key Responsibilities
- Solve each task yourself to confirm the scenario is realistic, the correct answer is clear, and the rubric captures the right reasoning.
- Calibrate task difficulty — adjust ticket ambiguity, account configuration complexity, or runbook depth until the task challenges the model appropriately.
- Review and correct AI-drafted task prompts or rubrics when provided.
Candidate background
Qualifications
- Experienced support engineer, technical support specialist, or customer success engineer with hands-on product support experience.
- Deep familiarity with real product failure modes, escalation paths, and support tooling (ticketing systems, internal knowledge bases, runbooks).
- Ability to reason through ambiguous support scenarios and articulate why a given routing decision is correct.
- Comfortable defining verifiable correctness criteria — not just "good customer service" but an objectively defensible resolution or escalation decision.
- Strong written communication; tasks and rubrics must be precise enough to be evaluated without interpretation.
Nice to Have
- Experience supporting enterprise or industrial software products.
- Background writing or maintaining runbooks, escalation playbooks, or internal knowledge bases.
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 Customer Support / Success role, you will design and calibrate end-to-end support triage tasks — reading a ticket, checking account configuration, searching runbooks, and deciding between fix and escalation — that reflect the real judgment calls experienced support professionals make under ambiguity.
This is a fully remote, flexible contract role ideal for experienced support engineers, technical support specialists, and customer success professionals in Singapore who want to contribute to cutting-edge AI development with global impact.
- Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week
Key Responsibilities
- Author realistic support task prompts: customer issue triage, account configuration checks, runbook lookup, and fix-versus-escalation decisions. - Write scoring rubrics that define the correct routing decision, resolution path, or escalation criteria in terms that can be objectively checked. - Set up task environments with ticket queues, account records, runbooks, and system states that replicate a genuine support scenario. - Solve each task yourself to confirm the scenario is realistic, the correct answer is clear, and the rubric captures the right reasoning. - Calibrate task difficulty — adjust ticket ambiguity, account configuration complexity, or runbook depth until the task challenges the model appropriately. - Review and correct AI-drafted task prompts or rubrics when provided.
Qualifications
- Experienced support engineer, technical support specialist, or customer success engineer with hands-on product support experience. - Deep familiarity with real product failure modes, escalation paths, and support tooling (ticketing systems, internal knowledge bases, runbooks). - Ability to reason through ambiguous support scenarios and articulate why a given routing decision is correct. - Comfortable defining verifiable correctness criteria — not just "good customer service" but an objectively defensible resolution or escalation decision. - Strong written communication; tasks and rubrics must be precise enough to be evaluated without interpretation.
Nice to Have
- Experience supporting enterprise or industrial software products. - Background writing or maintaining runbooks, escalation playbooks, or internal knowledge bases.
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs. - Fully remote and flexible — work when and where it suits you. - Freelance autonomy with the structure of meaningful, task-based work. - Contribute directly to how AI agents handle real enterprise support scenarios. - Potential for ongoing work and contract extension as new projects launch.
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
- 1b30c760-12cc-4ebe-8b9a-f3591398ceff
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.
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