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BetterHelp

Senior Clinical QA Specialist, AI

BetterHelp seeks a Senior Clinical QA Specialist, AI to join its Clinical Quality and AI Team on a full-time basis with a salary range of USD…

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Role Snapshot

Hiring Now
Work arrangement
Remote
Where applicants may be
Applicants in United States only
Salary
USD 125,000 - 150,000/yr
Apply by
Not specified
Employment type
Full-time
Experience
Not specified
Added to Jobsiz3h agoEmployer posted Oct 19, 2026
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Applications0
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About This Role

BetterHelp seeks a Senior Clinical QA Specialist, AI to join its Clinical Quality and AI Team on a full-time basis with a salary range of USD 125,000 to 150,000 per year. Founded in 2013, the employer operates as an online therapy service connecting users globally with a network of licensed therapists. This role focuses on leading the AI Clinical Quality Assurance program. Responsibilities include building evaluation rubrics, reviewing AI outputs…

Job Description

BetterHelp seeks a Senior Clinical QA Specialist, AI to join its Clinical Quality and AI Team on a full-time basis with a salary range of USD 125,000 to 150,000 per year. Founded in 2013, the employer operates as an online therapy service connecting users globally with a network of licensed therapists.

This role focuses on leading the AI Clinical Quality Assurance program. Responsibilities include building evaluation rubrics, reviewing AI outputs for clinical safety and bias, handling escalations from clients and clinicians, analyzing QA trends, and helping formulate safety protocols alongside legal and compliance departments. The position also involves contributing to research studies, supporting clinical department initiatives, and representing the organization externally.

The role suits a self-driven mental health professional with experience in clinical care, telemedicine, and healthcare AI applications. Candidates must possess a graduate degree in counseling, psychology, or social work, alongside familiarity with AI regulations and quality assurance processes. Preferred qualifications include specialized AI training, LLM evaluation familiarity, and data analytics experience.

Employees operate on Pacific Standard Time with the flexibility to work from any time zone, though travel to the San Jose, California office up to three times a year plus one company-wide offsite is required.

Responsibilities

  • Develop, operationalize, and refine QA frameworks, testing protocols, evaluation rubrics, and monitoring systems for AI tools
  • Conduct pre- and post-production evaluations of AI outputs regarding clinical safety, accuracy, bias, and adherence to ethical and regulatory standards
  • Assess AI-related escalations from therapists, clients, and customer-facing teams to determine patterns and severity levels
  • Analyze QA findings to create actionable reports and recommendations for improving AI features, prompts, and guardrails
  • Partner with legal, compliance, and clinical operations to design risk and escalation pathways, response protocols, and resolution tracking
  • Perform clinical risk assessments for emerging AI capabilities to identify failure modes and define safeguards
  • Stay informed on current AI QA research and industry best practices in healthcare and mental health
  • Contribute to research evaluations regarding AI efficacy and safety
  • Support clinical department programs such as office hours and newsletters
  • Represent the organization at public events, webinars, and conferences

Requirements

  • Graduate degree in counseling, psychology, or social work
  • Clinical mental health background in settings such as psychotherapy, digital mental health, or telemedicine
  • Familiarity with emerging AI regulatory frameworks and crisis response models in mental health
  • Experience working with AI, technology, or data science applications in healthcare
  • Knowledge of quality assurance, auditing, privacy, security, and confidentiality standards in mental healthcare
  • Strong communication skills to translate clinical expertise into operational and product guidance
  • Solid analytical and problem-solving abilities for fast-paced, data-driven environments
  • Experience collaborating with cross-functional teams
  • Growth mindset and passion for advancing mental health through innovative technology

Qualifications

  • Specialized degrees, certifications, or training in artificial intelligence
  • Familiarity with large language model evaluation methods or direct experience in AI evaluation such as redlining outputs
  • Background in research or data analytics
  • Ability to learn new technologies and processes quickly with minimal direction

Core Skills

Benefits

  • Remote work eligibility with regular in-person bonding events
  • Competitive compensation package with a performance bonus
  • Holistic perks program including free therapy and employee wellness offerings
  • Comprehensive health, dental, and vision insurance coverage
  • 401k plan featuring an employer matching contribution
  • Provision of hardware and software needed for productivity
  • Opportunity to participate in company-sponsored travel and offsite events

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

What is the salary range for the Senior Clinical QA Specialist, AI role?

The base salary range for this position is USD 125,000 to 150,000 per year, and the role is also eligible for a performance bonus.

Can I work remotely for this position?

Yes, candidates may work from any time zone while operating on PST. However, employees are asked to travel to the San Jose, California office up to three times per year plus one company-wide offsite.

What educational background is required?

Applicants must hold a graduate degree, either a Master's or Doctorate, in counseling, psychology, or social work.

What are the travel requirements?

The posting specifies travel to the San Jose office up to three times per year along with one company-wide offsite, with travel expenses covered.

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Posted by BetterHelp

Source: Jobicy

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Posted by employer: Oct 19, 2026

Added to Jobsiz: Oct 23, 2026

The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

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