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
Information Technology • Consulting
Own clinical quality for member-facing AI products by partnering with product, engineering, and clinical teams. Design clinical AI evaluations, define quality thresholds and rubrics, assess accuracy, omissions, hallucinations, medication-safety risks, and translate clinical reasoning into prompts and decision logic. Monitor evolving evidence and standards of care, validate product launches, and communicate findings to technical and clinical audiences.
Top Skills:
Clinical AiContext EngineeringLlmsMachine LearningPrompt Engineering
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Develop and manage Square’s always-on B2B content engine across social, thought leadership, customer stories, partner content, and industry narratives. Build content calendars, formats, briefs, campaigns, and AI-assisted workflows; collaborate with marketing, sales, creative, communications, and external partners; manage production through launch; and use performance insights to optimize content and distribution.
Top Skills:
Ai ToolsLinkedInSocial Media Platforms
Cloud • Security • Software • Cybersecurity • Automation
Leads secure enterprise architecture design and GitLab Professional Services implementations across application security, cloud security, DevSecOps, identity, vulnerability management, and compliance. Guides SaaS, Self-Managed, and Dedicated deployment decisions; leads CI/CD, source control, and security-tool migrations; conducts risk assessments and threat modeling; supports pre-sales scoping and statements of work; coordinates cross-functional delivery; mentors consultants; and develops security enablement materials.
Top Skills:
AnsibleCheckmarxContainer ScanningDastDependency ScanningFedrampGdprGitguardianGitlabGitlab Ci/CdGitlab DedicatedGitlab DuoGitlab SaasGitlab Self-ManagedIso 27001JenkinsNist 800-53Owasp Top 10 For Llm ApplicationsSastSecret DetectionSnykSoc 2SonarqubeTerraformVeracode
What you need to know about the Vancouver Tech Scene
Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.
