Senior Clinical QA Specialist – AI

BetterHelp

. Develop, operationalize, and refine QA frameworks for AI tools, including testing protocols, evaluation rubrics, monitoring systems, and review processes .

Posted 10/15/2026full-timeRemote • United StatesSenior💰 $125,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and operationalizing QA frameworks for AI tools in mental health, with a strong focus on clinical safety, accuracy, and compliance with regulatory standards. Possesses a solid understanding of AI evaluation methodologies and the ability to collaborate effectively with cross-functional teams to enhance mental health care through innovative technologies.

Highest-signal resume keywords

QA Framework DevelopmentClinical AI Risk AssessmentRegulatory Compliance KnowledgeStrong Analytical SkillsCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quality AssuranceAuditingData AnalysisAI Evaluation MethodsClinical Safety StandardsTherapeutic ApproachesEmerging AI MethodologiesEvaluation RubricsMonitoring SystemsTesting Protocols

Soft Skills

Strong Communication SkillsProblem-Solving SkillsGrowth MindsetCuriosityPassion for Mental Health Care

Certifications & Qualifications

Graduate Degree in CounselingGraduate Degree in PsychologyGraduate Degree in Social Work

Industry Keywords

Mental HealthTelemedicineDigital Mental HealthAI in HealthcareClinical OperationsCompliance ProcessesPrivacy StandardsSecurity StandardsEvidence-Based ApproachesAI Regulatory Frameworks

About the role

Key responsibilities & impact

Develop, operationalize, and refine QA frameworks for AI tools, including testing protocols, evaluation rubrics, monitoring systems, and review processes
Conduct pre- and post-production evaluations and audits 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, severity, and escalation pathways
Analyze QA findings and trends to produce actionable Clinical AI QA reports and recommendations for AI features, model behavior, prompts, guardrails, and workflows
Develop and maintain clinical AI risk and escalation pathways with Legal, Compliance, Clinical Operations, and other cross-functional teams
Support clinical risk assessments for new and evolving AI capabilities, including failure modes and safeguards
Monitor emerging AI QA and evaluation methodologies, tools, research, and healthcare industry best practices
Contribute to research studies and evaluations related to AI efficacy, safety, quality, and emerging evaluation approaches
Support Clinical Department initiatives such as office hours, newsletters, and team programs
Represent BetterHelp at public events, webinars, presentations, and conferences as appropriate

Requirements

What you’ll need

Graduate degree (Masters or Doctorate) in counseling, psychology, or social work
Clinical background in mental health, such as psychotherapy, telemedicine, digital mental health, or related care settings
Knowledge of emerging AI regulatory frameworks and best practices for AI in mental health
Experience working in 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 to translate clinical expertise into operational and product guidance for AI systems
Strong analytical and problem-solving skills; comfort operating in fast-paced, data-driven environments
Experience collaborating with cross-functional teams
Growth mindset, curiosity, and passion for advancing mental health care through safe and innovative technologies
Broad understanding of evidence-based therapeutic approaches and current clinical trends
Preferred: specialized degrees, certifications, or training in AI
Preferred: familiarity with LLM evaluation methods and/or direct AI evaluation experience
Preferred: background in data analytics or research
Preferred: ability to rapidly learn new technologies and processes with minimal direction

Benefits

Comp & perks

Remote work with regular in-person bonding experiences sponsored by the company
Competitive compensation
Holistic perks program (including free therapy, employee wellness, and more)
Excellent health, dental, and vision coverage
401k benefits with employer matching contribution
The chance to build something that changes lives – and that people love
Any piece of hardware or software that will make you happy and productive
An awesome community of co-workers
Performance bonus
Travel expenses covered for required in-person collaboration and company-wide offsite