Review clinical documentation and decision-making to identify gaps in care quality.
Provide coaching and remediation to clinicians to improve documentation standards.
Evaluate AI-assisted review outputs and contribute to quality process improvements.
The partner company is a healthcare organization dedicated to promoting safe, evidence-based mental healthcare through clinical quality review and education. It leverages AI-assisted tools and collaborates with experienced licensed therapists to support provider excellence.
Embed with product teams to shape clinical input from problem definition through launch.
Translate complex clinical workflows into requirements for engineers and designers.
Bring clinical judgment to AI-enabled features, defining safe and useful behavior.
Headway builds software that helps mental health providers accept insurance and run their practices, improving access to therapy. It is a Series D company backed by top investors, with over 85,000 providers and 1 million patients served.
Review transcripts of short AI conversations focused on mental health topics.
Evaluate the safety, tone, and clinical appropriateness of generated responses.
Write clinically sound example responses and develop structured grading rubrics.
Terac is building the world's largest pool of vetted human experts for AI, helping researchers and labs recruit, screen, and pay study participants across industries. Their platform connects specialized professionals with paid AI research opportunities.
Own the safety standard for AI-generated clinical content, defining what counts as a hallucination, omission, or clinically material error.
Design and run evaluation protocols, build grading rubrics, and classify failures by severity to enforce the release gate.
Spend 5-10% of time building clinical modules and joining sales conversations to explain safety validation to clinical leaders.
Avo is the leading AI platform for healthcare enterprises, helping clinicians make better decisions and improve patient care. The company is remote-first, product-obsessed, and collaborative, backed by investors including Noro-Moseley Partners, AlleyCorp, and Scrub Capital.
Review psychiatric clinical documentation against Headway's quality standards to ensure safe, evidence-based care.
Provide coaching and remediation to providers on documentation and clinical decision-making.
Work with AI-assisted review tools to evaluate outputs and improve quality rubrics.
Headway builds software that helps mental health providers manage their practices and accept insurance, making therapy more accessible. They are a Series D company with $325M+ in funding, supporting over 75,000 providers across all 50 states.
Review and annotate AI agent conversations across clinical use cases to assess accuracy, safety, and guideline adherence.
Score and annotate agent performance using structured rubrics and evidence-based protocols.
Identify clinical safety concerns and provide actionable feedback to refine AI-driven clinical agents.
Hippocratic AI is developing a healthcare-only, safety-focused large language model to improve patient outcomes globally. With $404M in funding, the company brings together experts from top healthcare and AI institutions like Stanford, Google, and NVIDIA.
Build AI features inside real clinical workflows, like checking notes against payer and compliance requirements before finalization.
Design evals to prove those features are right and keep them honest as models change.
Prototype AI capabilities, including voice agents, and take the best from prototype to production.
Ease builds the AI-native operating system for behavioral health, replacing disconnected tools with one platform for CRM, EHR, and revenue cycle management. Backed by a $41M Series A, this rapidly growing NYC team has no product managers—engineers talk to customers and ship in days.
Test and evaluate AI model responses across diverse topics and conversation types.
Write and refine system prompts to shape model behavior and personality.
Apply detailed rubrics consistently to assess model performance and document findings.
We are a team dedicated to evaluating and improving advanced AI models and products. Our fast-moving environment emphasizes quality, independent judgment, and attention to detail.
Evaluate AI-generated responses for relevance, accuracy, and personalization using personalized prompts and data from connected Google applications.
Identify subtle issues such as incorrect assumptions, irrelevant recommendations, inconsistencies, and inappropriate personalization.
Provide clear, detailed, and structured feedback to support improvements to AI models and personalization systems.
Our partner company is seeking an AI Response Quality Evaluator to improve AI-generated responses. This is a project-based contract role with a remote, independent working environment and a duration of up to 16 weeks.
Support new clinician users with peer-to-peer onboarding and practical product guidance.
Collect and synthesise user feedback to inform Product, GTM, Lifecycle, and Customer Success.
Contribute to clinical product development and enterprise rollouts across specialties.
Heidi builds an AI Care Partner that removes administrative burden for clinicians and supports millions of patient sessions weekly across 190+ countries. The company has scaled from $1M to $50M ARR in two years and is backed by $340M in funding, with a mission-driven, outcome-focused culture.
Provide telehealth-based individual, family, and group therapy to children, adolescents, and families.
Complete intake, risk, and safety assessments and maintain timely clinical documentation.
Participate in supervision, professional development, and interdisciplinary collaboration.
Backpack Healthcare is a clinician-led, minority-owned telehealth organization offering child and family mental health services. They support early-career clinicians through a structured residency program with supervision and professional development.