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Customer Support Task Author (AI Training)

Alignerr
Department:Design
Type:REMOTE
Region:Australia
Location:Sydney, New South Wales, Australia
Experience:Mid-Senior level
Estimated Salary:A$60,000 - A$90,000
Skills:
SUPPORT TRIAGETICKETING SYSTEMSKNOWLEDGE BASESRUNBOOKSESCALATIONCUSTOMER SUCCESSTECHNICAL SUPPORT
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Job Description

Posted on: August 1, 2026

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 based in Sydney and across Australia.

  • 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.
Originally posted on LinkedIn

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