Customer Support Task Author (AI Training)

Alignerr

Amsterdam

Remote

EUR 34,000 - 83,000

Full time

34 hours ago
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Job summary

Alignerr is building AI-driven task prompts for enterprise support roles. The Task Author will design end-to-end support triage tasks, validate scenarios, and calibrate difficulty levels to reflect real-world decisions made by support professionals.

The role is a fully remote hourly contract open to experienced support engineers and customer success professionals in Amsterdam and across the Netherlands. Commitment: 10–40 hours per week.

Qualifications

  • Experienced support engineer, technical support specialist, or customer success engineer with hands-on product support experience.
  • Ability to reason through ambiguous scenarios and justify routing decisions with evidence.
  • Strong written communication to create precise tasks and rubrics for evaluation.

Responsibilities

  • Author realistic support task prompts: triage, account checks, runbook lookups, and fix-versus-escalation decisions.
  • Write scoring rubrics defining correct routing, resolution or escalation criteria.
  • Set up task environments with queues, accounts, runbooks, and system states matching real scenarios.
  • Self-verify tasks to ensure realism and clarity of the rubric.
  • Calibrate task difficulty by adjusting ambiguity and account complexity.
  • Review and correct AI-drafted prompts or rubrics when provided.

Skills

Support engineering experience
Customer success
Hands-on product support

Tools

Ticketing systems
Runbooks
Internal knowledge bases

Job description

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.



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 open to experienced support engineers and customer success professionals in Amsterdam and across the Netherlands who want to shape how AI handles enterprise support.



  • 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.

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