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 development of highly available, distributed payments platform services and global bill payment capabilities. Design scalable, secure, high-throughput backend systems, APIs, and database solutions while integrating multiple payment providers and risk controls. Contribute hands-on production code and proofs of concept, establish technical direction, mentor engineers, collaborate cross-functionally, and promote AI tools that improve engineering productivity.
Top Skills:
Api DesignArtificial IntelligenceAWSC#C++Distributed SystemsGoJavaNoSQLSQL
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Lead product data engineering initiatives by designing data models, owning critical pipelines, building data quality and lineage monitoring, and supporting experimentation and ML-ready datasets. Translate business needs into automated data solutions, maintain pipeline SLAs through on-call support, and develop AI-assisted tools for issue detection and resolution. Collaborate with Product, Engineering, Data Science, Machine Learning, and Applied AI teams across Block’s products.
Top Skills:
AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform
Artificial Intelligence • Cloud • Information Technology • Security • Social Impact • Software
Lead the evaluation, training, fine-tuning, and production integration of machine learning and large language models. Build prompt engineering and model evaluation pipelines, optimize Elasticsearch-backed AI workflows, benchmark commercial and open-source models, and monitor production performance. Collaborate with product, engineering, and security teams to deliver safe, scalable AI capabilities while identifying improvements to data pipelines and engineering processes.
Top Skills:
Amazon BedrockAmazon SagemakerAnthropicElasticsearchHugging FaceMeta LlmsMistralOpenaiPythonPyTorchScikit-LearnTensorFlow
What you need to know about the Ottawa Tech Scene
The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.



