Evaluate AI-generated responses to complex medical and biomedical problems, helping improve the clinical reasoning and safety of frontier AI systems.
Clinical Researcher
Job description
As a Clinical Researcher Subject Matter Expert (SME), you will work remotely reviewing AI-generated clinical research and biomedical content while helping improve advanced AI systems used for scientific reasoning and evidence interpretation.
This role focuses on evaluating research quality, identifying methodological issues, and producing high-quality scientific explanations and reference solutions grounded in evidence-based medicine and clinical research best practices.
Contributors help train AI systems through real-world expertise in:
- Clinical trial methodology
- Epidemiology
- Biostatistics
- Evidence appraisal
- Scientific communication
- Research interpretation
Key Responsibilities
Review AI-generated:
- Clinical research content
- Biomedical explanations
- Statistical interpretations
- Scientific reasoning workflows
Assess responses for:
- Accuracy
- Clarity
- Scientific rigor
- Safety
- Prompt adherence
Identify issues involving:
- Study design
- Endpoint selection
- Bias and confounding
- Statistical reasoning
- Evidence interpretation
- Trial methodology
Evaluate:
- Effect sizes
- Confidence intervals
- P-values
- Missing data handling
- Sensitivity analyses
- Multiple comparisons
Review research quality involving:
- Randomization
- Blinding
- Selection bias
- Measurement bias
- Survivorship bias
- Collider bias
Write:
- Scientific explanations
- Step-by-step reasoning
- Gold-standard research answers
- Reference solutions
Compare and evaluate AI responses based on:
- Correctness
- Evidence quality
- Scientific reasoning
- Clarity of interpretation
Contribute to AI model evaluation and scientific training workflows
Required Qualifications
Bachelor’s degree or higher in:
- Public Health
- Epidemiology
- Biostatistics
- Clinical Research
- Biomedical Sciences
- PharmD
- MD/DO
- Nursing
- Related scientific or healthcare disciplines
Minimum 5 years of professional clinical research experience
Strong expertise involving:
- Study design
- Endpoints
- Inclusion/exclusion criteria
- Power/sample size reasoning
- Interpretation of results
Strong statistical interpretation abilities involving:
- Confidence intervals
- Effect sizes
- P-values
- Missing data
- Sensitivity analyses
Deep understanding of:
- Bias
- Confounding
- Causality
- Randomization
- Blinding
Familiarity with:
- Clinical trial operations
- Protocols
- AE/SAE logic
- Data quality
- Monitoring
- GCP principles
C1-level English proficiency
Strong scientific writing and fact-checking abilities
Ability to work independently in remote asynchronous workflows
Preferred Qualifications
Experience involving:
- AI training workflows
- Medical/scientific editorial QA
- Systematic reviews
- Guideline development
- AI-generated content evaluation
Strong evidence appraisal and scientific communication skills
Exceptional attention to detail in medical fact verification
Work Structure
- Fully remote contractor role
- Flexible work schedule
- Hourly compensation
- Weekly payments after approved work
Important Note
There is currently no immediate active project for this role. Qualified candidates will join the expert network and may be contacted for future opportunities and AI-related projects.
About SME Careers
SME Careers is an AI data services company and subsidiary of SuperAnnotate that provides expert training data to leading AI companies and foundation model labs worldwide.
Contributors directly help improve how advanced AI systems reason about clinical research, biomedical evidence, and scientific communication.
You will be redirected to the company's website to complete your application.