Design realistic, specialty-specific clinical case scenarios and gold-standard attending-level responses, evaluate and grade AI-generated outputs using structured rubrics, provide detailed written feedback to improve model clinical reasoning, and participate in onboarding, calibration, and review sessions in a fully remote, asynchronous contractor role (~20 hours/week).
This role is for one of our clients
Compensation: $130-$300 per hour
We are partnering with a leading AI research lab to develop high-quality healthcare reasoning data for training next-generation AI models. As a Clinical AI Specialist, you will contribute your medical expertise to design realistic clinical scenarios, evaluate AI-generated outputs, and help improve how advanced models reason about patient care in real-world settings.
Requirements
What You’ll Do
- Design clinically accurate and realistic case scenarios based on your specialty, including diagnostic reasoning, treatment planning, risk stratification, and guideline-based care
- Develop “gold standard” responses at an attending-physician level to guide AI model learning
- Evaluate and grade AI-generated outputs using structured rubrics and evidence-based medical standards
- Provide detailed written feedback to enhance model accuracy, safety, and clinical reasoning
- Participate in onboarding sessions, office hours, and specialty-specific calibration discussions
Who You Are
- Attending Physicians: Board-certified with a current, active, and unrestricted medical license
- Resident Physicians: Final year of residency (recent graduates must be board-eligible)
- Fellows: Board-certified/board-eligible in primary specialty with an active, unrestricted license
- Strong understanding of evidence-based medicine and clinical guidelines within your specialty
- Excellent analytical and written communication skills
Engagement Details
- Fully remote, asynchronous work environment
- Standard commitment of ~20 hours per week (with potential to increase based on performance and demand)
- Flexible schedule—work at your convenience
- Ongoing engagement with monthly performance reviews
- Start date: Rolling, following onboarding completion
Compensation
- Rates vary by specialty and experience level
- Final compensation details will be shared during the offer stage
- Payments are processed weekly via supported global payment platforms
Additional Information
- Engagement is on an independent contractor basis
- Work must not involve sharing confidential or proprietary information from any affiliated organization
- Projects may be extended, modified, or concluded based on business needs and individual performance
- At this time, visa sponsorship is not available for certain work authorization categories
Onboarding Process
Upon acceptance, you will receive onboarding materials along with an invitation to attend orientation and office hours sessions before beginning your first assignment.
Similar Jobs
Cloud • Fintech • Information Technology • Machine Learning • Software
Lead the design, delivery, and operationalisation of agentic AI workflows and agents from discovery to production. Build integrations with enterprise systems, reusable automation patterns, and monitoring frameworks while partnering with stakeholders and evangelising safe, auditable AI automation across the business.
Top Skills:
APIsClaudeCloud InfrastructureGeminiLlmsMcpNetSuitePythonRag SystemsSalesforceSdksSlackTypescriptWebhooksWorkday
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Engagement Marketing Manager will focus on activation and habituation through experimentation, analytics, and collaboration across Product, Engineering, and Design teams to drive customer engagement and product decisions.
Top Skills:
Ai ToolsBrazeIterableModeSalesforce Marketing CloudSQLTableau
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Design, build, and operate distributed ledger, transaction, settlement, and treasury systems. Develop durable ledgering APIs, emit trusted data for finance, maintain high-reliability services to SLOs, lead complex cross-team projects, mentor engineers, and integrate AI tooling across the development lifecycle.
Top Skills:
AmpAuroraAWSClaudeCodexDatabricksDatadogGoGooseGraphQLJavaJooqKotlinKubernetesMcpMySQLProtocol BuffersPythonSnowflakeSQLTemporalTerraformVitess
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
