Senior Clinical QA Specialist, AI

BetterHelp

8d • $125,000 - $150,000 • Remote

About The Position

BetterHelp is seeking a mission-driven clinical professional with experience in mental health care and familiarity with AI to join its Clinical Quality and AI Team. The role focuses on ensuring that AI features and outputs meet clinical safety, quality, ethical, and compliance standards while contributing to long-term AI strategies. The specialist will lead BetterHelp’s AI Clinical Quality Assurance program and help shape the use of AI-powered solutions in mental health care.

The position involves developing and refining QA frameworks, evaluation rubrics, monitoring systems, and review processes; auditing AI outputs before and after production; reviewing and analyzing AI-related escalations; and translating findings into practical recommendations for product and workflow improvements. The specialist will work with cross-functional partners, including Legal, Compliance, and Clinical Operations, on risk assessment and escalation processes, and will stay current on AI evaluation research and industry practices. Additional work may include contributing to research and Clinical Department initiatives and representing BetterHelp at external events.

This is a remote role. BetterHelp operates on Pacific Time and welcomes applicants in any time zone. Employees are asked to travel to the San Jose, California office up to three times per year and attend one company-wide offsite; travel expenses are covered. The stated base salary range is $125,000–$150,000, with eligibility for a performance bonus and benefits, subject to eligibility requirements.

Requirements

• Graduate degree (Master’s or Doctorate) in counseling, psychology, or social work.
• Clinical background in mental health, such as psychotherapy, telemedicine, digital mental health, or a related care setting.
• Knowledge of emerging AI regulatory frameworks and best practices for AI in mental health, including crisis response models and digital escalation workflows.
• Experience working with AI, technology, or data science applications in healthcare settings.
• Knowledge of quality assurance, auditing, and compliance processes, including privacy, security, and confidentiality standards in mental healthcare.
• Strong communication skills and ability to translate clinical expertise into clear operational and product guidance for AI systems.
• Strong analytical and problem-solving skills and comfort working in fast-paced, data-driven environments.
• Experience collaborating with cross-functional teams.
• Growth mindset, curiosity, and interest in advancing mental health care through safe, innovative technologies.
• Broad understanding of evidence-based therapeutic approaches and current clinical trends.

Nice To Haves

• Specialized degrees, certifications, or training in AI.
• Familiarity with LLM evaluation methods or direct experience in AI evaluation, such as redlining AI outputs for model improvement.
• Background in data analytics or research.
• Ability to rapidly learn new technologies and processes with minimal direction.

Responsibilities

• Develop, operationalize, and refine QA frameworks for AI tools, including testing protocols, evaluation rubrics, monitoring systems, and review processes.
• Conduct pre- and post-production evaluation and auditing of AI outputs for clinical safety, accuracy, bias, and alignment with therapeutic, ethical, and regulatory standards.
• Review AI-related escalations from therapists, clients, and customer-facing teams; identify patterns and severity and determine appropriate escalation pathways.
• Analyze QA findings and trends and produce actionable Clinical AI QA reporting with recommendations for improving AI features, model behavior, prompts, guardrails, and workflows.
• Communicate QA reporting and recommendations to cross-functional partners.
• Develop and maintain clinical AI risk and escalation pathways with relevant cross-functional teams, defining issue severity, escalation thresholds, response protocols, and tracking through resolution.
• Support clinical risk assessments for new and evolving AI capabilities by identifying potential failure modes and safeguards and helping ensure adherence to clinical, ethical, and regulatory expectations.
• Stay current on AI QA and evaluation methodologies, tools, research, and industry best practices relevant to healthcare and mental health, and incorporate applicable advances into BetterHelp’s QA approach.
• Contribute to research studies or evaluations related to AI efficacy, safety, quality, and emerging evaluation approaches.
• Support Clinical Department initiatives, such as office hours, newsletters, and other team programs.
• Represent BetterHelp at public events, webinars, presentations, and conferences as appropriate.

Benefits

• Remote work with regular in-person bonding experiences sponsored by the company.
• Competitive compensation.
• Holistic perks program, including free therapy and employee wellness offerings.
• Health, dental, and vision coverage.
• 401(k) benefits with employer matching contribution.
• Performance bonus eligibility.
• Covered travel expenses for required in-person collaboration.
• Hardware or software to support productivity.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior