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
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Full-cycle recruiter owning hiring for Business and GTM functions (Sales, Legal, Risk, Compliance, Finance, Operations, Strategy, Marketing). Partner with senior leaders to design sourcing strategies, assess candidates, manage offers and negotiations, track recruiting metrics, and improve workflows. Champion employer brand and deliver diverse, high-caliber talent in a fast-paced, hybrid Toronto environment.
Top Skills:
Ashby
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design and implement Epic payer platform IT solutions, perform complex data analysis and data mining/modeling, manage IT infrastructure alignment, mentor junior staff, and build client relationships to support operations transformation.
Top Skills:
ChroniclesData CourierEpic EcsaEpic OdbaEpic Payer Platform
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design, build, and deploy scalable AI and GenAI solutions by wrangling data, developing ML models, and maintaining data infrastructure. Collaborate with clients, perform complex analyses, apply NLP and deep learning techniques, and mentor junior team members to deliver production-ready AI systems.
Top Skills:
AWSC++DatabricksGCPAzureNatural Language ProcessingNeural NetworksPythonReinforcement LearningScikit-LearnSnowflakeTensorFlow
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
