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 • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead development and execution of internal communications and change management strategies to align employees with organizational goals. Manage channels, create content (copywriting, speech writing), use data to improve communications, build stakeholder relationships, embrace technology, oversee project planning/budgeting, and mentor team members while resolving conflicts and driving adoption of communication initiatives.
Artificial Intelligence • Hardware • Healthtech • Software
The Director of Embedded Systems Engineering will lead the firmware organization, oversee technical roadmaps, process architecture, and integrate AI tools while managing JDM partnerships and ensuring operational excellence.
Top Skills:
AIEmbedded SystemsIotMcu-Based RtosMmwaveMpu-Based Embedded LinuxOptical PerceptionVoipWebrtcWireless Communication
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
As the Lead Product Designer for Discover, you'll design AI-driven experiences for a two-sided marketplace while mentoring the design team and owning the product design direction.
Top Skills:
Ai-Assisted Prototyping Tools (CursorClaude CodeFigmaLovable)V0
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.



