QA and Clinical Oversight Reviewer
Job Description
Key Skills Required
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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.
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
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RadiantGraph
View Company ProfileRadiantGraph (operating under radiantgraph.com, legally Radiant Graph, Inc.) is the premier, enterprise-grade AI-powered consumer engagement platform, healthcare data intelligence pioneer, and medical marketing orchestration powerhouse engineered to act as the definitive, high-velocity patient personalization, clinical cohort segmentation, and multi-channel health communication layer for modern health plans, health services, and digital health providers. Founded in 2023 by Dr. Anmol Madan (visionary computer scientist, co-founder and former CEO of Ginger.io, and former Chief Data Scientist at Livongo and Teladoc Health), the company completely eliminates the severe systemic friction of modern healthcare member management—where health plans struggle to drive adoption for sensitive clinical programs, suffer from fragmented data silos, and lose millions of dollars on low-signal, manual member outreach campaigns—by deploying its proprietary \"Intelligent Personalization\" matrix. Moving far beyond traditional, passive healthcare marketing software or generic email marketing tools, RadiantGraph natively unifies robust healthcare data ingestion (integrating with AWS, GCP, Snowflake, and Databricks), automated data enrichment, and advanced machine-learning-driven \"Smart Cohorts\" modeling into a high-availability developer and marketing workspace. By layering clinical risk scoring with social determinants of health (SDOH), the platform predicts exactly when and how to engage members to boost onboarding, close costly gaps in care, and optimize treatment enrollments. Validating its rapid commercial growth, the high-growth deeptech enterprise has secured over $19 million in institutional venture capital, anchored by an $11 million Series A financing round supported by elite investment houses including XYZ Venture Capital, M13, True Ventures, and Remus Capital. Under the hood, its technology core utilizes secure, HIPAA-compliant pipeline architectures, SOC 2 compliance, automated multi-channel messaging frameworks, and its advanced HIPAA-compliant AI Voice Studio designed to deploy conversational AI voice agents with absolute compliance and local execution security. What sets RadiantGraph apart is its uncompromising dedication to replacing fragmented, cold-calling workflows with absolute member engagement predictability, proven clinical enrollment lifts, and minimized operational waste; by bridging the gap between performance-intensive machine learning algorithms and everyday patient-first communication channels, the company remains the definitive cornerstone of modern algorithmic healthtech and global clinical engagement transformation.
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