AI Quality Operator at Neon Health
San Francisco, California, USA -
Full Time


Start Date

Immediate

Expiry Date

26 Nov, 25

Salary

90000.0

Posted On

26 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Creativity

Industry

Information Technology/IT

Description

TLDR

You’ll be hands-on in improving the real-world behavior of our AI systems — tracing and fixing runtime issues, building agent simulators, designing LLM evals and QA tools, and interfacing with client data. This is a role for builders who like prompt-level debugging, LLM system testing, and building infrastructure that improves our AI agents’ performance.

ABOUT US: JOIN THE TEAM MAKING LIFE-SAVING DRUGS ACCESSIBLE

The crisis: Sarah delayed cancer treatment for weeks facing $30,000 monthly costs. Marcus’s autoimmune condition worsened while battling insurance denials.

Over 50% of critical prescriptions are abandoned due to:

  • Cost barriers: Patients with high copays are 5x more likely to abandon treatment
  • Insurance maze: Complex prior authorizations block access
  • Logistical challenges: Coordinating medical visits for treatments

Our solution: Neon’s technology eliminates these obstacles by automating patient access workflows for pharma companies: —automating authorizations, streamlining benefits verification, and unlocking financial assistance.
Join our mission: We want to live in a world where every patient can navigate the healthcare system with ease, especially when it matters most. Help us ensure that access to medicine is determined by clinical need—not bureaucracy or financial constraint. When Neon succeeds, patients access life-saving treatments without bankrupting their families, while we build an AI automation powerhouse serving healthcare’s biggest enterprises.

EXPERIENCE

  • Experience operating with excellence in a fast-paced, dynamic environment.
  • Early in your career with demonstrated talent, hustle, and creativity.

How To Apply:

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Responsibilities

Improve the quality of our AI agents by reviewing the output of their work. For example, for our phone-calling AI agents, you will:

  • Review transcripts and recordings of their calls
  • Understand issues that arose on those calls
  • Label and document those issues
  • Provide suggested guidance on how to improve going forward

Your efforts will contribute directly to the quality of our AI agents, and thus to our mission.

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