Senior CS & Support Domain Expert (Remote, 1099)

Truelancer AI

United States

Remote

USD 96,000 - 172,000

Part time

3 days ago
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Job summary

Truelancer AI in the United States is seeking experienced Customer Support and Customer Success professionals to contribute to an advanced AI evaluation and quality assurance project focused on enterprise workflows.

You will review AI-generated prompts and outputs, audit multi-step journeys from onboarding to renewals, and provide structured feedback to improve model performance and domain fidelity across customer support, success, billing, and adoption.

Qualifications

  • 10+ years of professional experience in Customer Support or Customer Success.
  • Expertise in ticket management, issue resolution, and escalation handling.
  • Experience with enterprise renewals, retention, and product adoption.
  • Understanding of onboarding, implementation, and installation coordination.
  • Strong analytical, written communication, and process evaluation skills.
  • Ability to judge realism of customer journeys against enterprise policies.

Responsibilities

  • Act as domain expert for reviewing AI-generated customer support workflows.
  • Audit synthetic workflows and evaluate AI prompts for real-world authenticity.
  • Review AI outputs against best practices in customer support and success.
  • Evaluate workflows including ticket triage, escalation, renewal, onboarding, billing.
  • Provide structured feedback to improve AI model outputs.
  • Ensure authenticity and professionalism of customer communications.

Skills

Enterprise support
Customer retention
Ticket management
Onboarding coordination

Tools

Intercom
Stripe
HubSpot
Metabase

Job description

Truelancer AI in the United States is seeking experienced Customer Support and Customer Success professionals to contribute to an advanced AI evaluation and quality assurance project focused on enterprise workflows.

You will review AI-generated prompts and outputs, audit multi-step journeys from onboarding to renewals, and provide structured feedback to improve model performance and domain fidelity across customer support, success, billing, and adoption.

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