Quality Assurance / Clinical Oversight, Voice AI Product
- Role
- QA
- Employment
- Part-time8–20h/week
- Company size
- Startup
Open to US only. Set where you work from to check your eligibility.
No BS summary
QA/clinical oversight reviewer for a healthcare Voice AI product. Needs healthcare coaching/clinical/healthcare operations background, HIPAA and clinical safety familiarity, and US-based remote availability for 8–20 hours/week. Spanish fluency is a strong plus.
Optional languages
ABOUT THE ROLE
RadiantGraph's Voice Agents have conversations about refills, screenings, and care programs. Every one of those conversations needs human judgment behind it.
As our QA and clinical oversight reviewer, you are that judgment: you audit call transcripts and catch what automated checks miss, ensuring AI conversations are safe and drive meaningful outcomes.
You'll also help craft those conversations: drafting the conversation flows our voice agents follow, and contributing to the systems that create and monitor them.
This is work your coaching background prepared you for. Reading a conversation for empathy and for safety signals is what health coaches do every day; here you apply that skill to AI-led conversations, and you learn the 2026 agentic-AI toolchain while you do it.
ABOUT RADIANTGRAPH
RadiantGraph is a rapidly growing, venture-backed healthcare technology company solving a core challenge for health plans: moving from fragmented, legacy data infrastructure to intelligent, actionable member engagement at scale. Its AI-powered platform unifies claims, pharmacy, clinical, and SDoH data into a single intelligence layer, applies proprietary machine learning to identify high-impact member cohorts, and drives personalized outreach across all channels, including voice AI. The platform delivers measurable improvements in enrollment, care-gap closure, and ROI — with results in weeks, not quarters — supporting enterprise payers, digital health organizations, and care delivery partners working to improve outcomes and reduce total cost of care.
Founded by Anmol Madan (Ginger; Livongo/Teladoc), RadiantGraph combines deep payer expertise with elite engineering talent (40% of the team holds PhDs in ML/AI), is cloud-native, and can be implemented in as little as 30 minutes. RadiantGraph was also awarded the $1M Grand Prize in the Databricks “Built on Databricks” Startup Challenge, underscoring its technical leadership and enterprise-readiness within the modern data ecosystem.
WHAT YOU'LL DO
Quality assurance
- Review and audit call transcripts for quality and adherence to agent-specific prompts and call-handling guidelines
- Verify agents stay within non-clinical scope (no diagnosis, treatment advice, or medical interpretation)
- Monitor for safety and escalation signals (urgent symptoms, mental-health concerns, medication issues)
- Ensure compliance with HIPAA, PHI handling, and clinical safety guardrails
- Identify risks in privacy, identity verification, and information containment
- Flag unexpected behaviors, deviations, and potential safety or compliance gaps
- Give clear, actionable feedback to the product team; report trends that refine quality standards
Conversation design and system improvements
- Collaborate with the product team to write, refine, and develop the scripts that guide our voice agents’ conversations
- Analyze patterns from conversation outcomes and call audits, and turn those insights into iterative improvements to agent scripts
- Contribute to building out the systems that create and monitor the voice agents
WHERE THIS GOES
- An early startup role. You join while the Voice AI function is still taking shape. You influence the QA standards, calibration processes, conversations the agents have, and the systems that create and monitor them.
- Contract-to-hire. This role will be a 1099 contract position to start, but has the opportunity to become a full-time W-2 position with benefits for someone who demonstrates competence, initiative, and dedication.
- Paid, structured onboarding. Training and calibration time are paid hours from day one, and you'll learn our agentic AI workflows hands-on. Willingness to learn counts; you do not need to be an AI expert on day one.
HOURS AND SCHEDULE
- Flexible: a minimum of 8–10 hours per week, up to 20 based on your interest and skills, with room to grow over time
- Remote, US-based; review work is asynchronous
WHO YOU ARE
- Background as a health coach, health-coaching team lead or manager, licensed healthcare professional, or healthcare operations specialist
- Familiar with clinical safety principles, care navigation, and HIPAA compliance
- Strong attention to detail; comfortable reading high volumes of conversation data
- Excellent written and verbal communication; instructional or technical writing experience is a plus
- A user-first mindset: you anticipate how a conversational flow will land for the member, and how to design and troubleshoot it
- Adaptable and resourceful: you thrive in a fast-paced, evolving early-startup environment, dig in to learn as much as you can, and contribute from day one
- Curious about agentic AI, whether you've worked with it or want to learn it here
- Fluency in Spanish is a strong plus
- Reliable laptop and internet connection
What you'll do
- Review and audit call transcripts for quality and adherence to agent-specific prompts and call-handling guidelines
- Verify agents stay within non-clinical scope (no diagnosis, treatment advice, or medical interpretation)
- Monitor for safety and escalation signals (urgent symptoms, mental-health concerns, medication issues)
- Ensure compliance with HIPAA, PHI handling, and clinical safety guardrails
- Identify risks in privacy, identity verification, and information containment
- Flag unexpected behaviors, deviations, and potential safety or compliance gaps
- Give clear, actionable feedback to the product team; report trends that refine quality standards
- Collaborate with the product team to write, refine, and develop the scripts that guide our voice agents’ conversations
- Analyze patterns from conversation outcomes and call audits, and turn those insights into iterative improvements to agent scripts
- Contribute to building out the systems that create and monitor the voice agents
What they require
- Background as a health coach, health-coaching team lead or manager, licensed healthcare professional, or healthcare operations specialist
- Familiar with clinical safety principles, care navigation, and HIPAA compliance
- Strong attention to detail; comfortable reading high volumes of conversation data
- Excellent written and verbal communication
- Preferred: instructional or technical writing experience
- A user-first mindset: you anticipate how a conversational flow will land for the member, and how to design and troubleshoot it
- Adaptable and resourceful: you thrive in a fast-paced, evolving early-startup environment, dig in to learn as much as you can, and contribute from day one
- Curious about agentic AI, whether you've worked with it or want to learn it here
- Reliable laptop and internet connection
- Flexible: a minimum of 8–10 hours per week, up to 20 based on your interest and skills, with room to grow over time
- Remote, US-based; review work is asynchronous
Benefits
- Contract-to-hire: this role will be a 1099 contract position to start, but has the opportunity to become a full-time W-2 position with benefits for someone who demonstrates competence, initiative, and dedication
- Paid, structured onboarding
- Training and calibration time are paid hours from day one
- You'll learn our agentic AI workflows hands-on
- Flexible: a minimum of 8–10 hours per week, up to 20 based on your interest and skills, with room to grow over time
- Remote, US-based; review work is asynchronous
RadiantGraph is a rapidly growing, venture-backed healthcare technology company solving a core challenge for health plans: moving from fragmented, legacy data infrastructure to intelligent, actionable member engagement at scale. Its AI-powered platform unifies claims, pharmacy, clinical, and SDoH data into a single intelligence layer, applies proprietary machine learning to identify high-impact member cohorts, and drives personalized outreach across all channels, including voice AI.