🕒 11 days ago
Review and curate clinical content on emerging medical technologies, assess queries for relevance, safety, and efficacy, and provide expert feedback to support clinicians and product development.
General Physician (AI Evaluation)
🕒 2 days ago
Clinical JudgmentMedical Content EvaluationEvidence-based MedicineClinical Reasoning
📜 Description
- Evaluate diagnoses, treatment plans, case summaries, and clinical reasoning.
- Identify inaccurate, unsafe, misleading, or incomplete outputs.
- Provide structured feedback and follow detailed evaluation and annotation guidelines.
- Complete reviews using web-based tools and collaborate with clinical and AI teams.
🛠️ Requirements
- Medical Doctor (MD) or equivalent medical qualification such as MBBS, MBChB, or equivalent.
- Fully licensed to practice medicine in the United States.
- Currently actively practicing medicine in the US.
- At least 1 year of post-residency clinical practice experience as a physician.
- Strong general clinical judgment; no specific specialty is required.
✨ Benefits
- Review AI-generated medical content for accuracy, safety, and completeness.
- Apply evidence-based medical standards and professional clinical judgment.
Full job description
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role Overview
We are looking for licensed physicians currently practicing in the United States to support the evaluation and improvement of advanced AI systems in healthcare.
The role involves reviewing AI-generated clinical content for medical accuracy, safety, completeness, and relevance, including diagnoses, treatment plans, summaries, and other case-based outputs. You will apply real-world clinical judgment to identify errors, unsafe recommendations, missing information, and weak reasoning, helping improve the quality and reliability of medical AI systems.
CONTRACT: Contractor assignment, 12 weeks
COMMITMENT: Part-time or Full-time (20-40h/week)
LOCATIONS: Remote - USA
PROCESS: The selection will be made based on an online questionnaire and resume/education/certification
NOTES: Candidates must be fully licensed and actively practicing medicine in the US.
Key Responsibilities
- Review AI-generated medical content for accuracy, safety, and completeness.
- Evaluate diagnoses, treatment plans, case summaries, and clinical reasoning.
- Identify inaccurate, unsafe, misleading, or incomplete medical outputs.
- Apply evidence-based medical standards and professional clinical judgment.
- Provide structured expert feedback to improve model quality.
- Follow detailed evaluation and annotation guidelines.
- Complete structured questionnaires and reviews using web-based tools.
- Collaborate with clinical and AI teams on quality improvement.
Requirements
- Medical Doctor (MD) or equivalent medical qualification such as MBBS, MBChB, or equivalent.
- Fully licensed to practice medicine in the United States.
- Currently actively practicing medicine in the US.
- At least 1 year of post-residency clinical practice experience as a physician.
- Strong general clinical judgment; no specific specialty is required.
Similar jobs
Search more Medical Reviewer jobs🕒 11 days ago
Review and curate clinical content on emerging healthcare technologies, assessing relevance, safety, efficacy, and potential effects on medical practice and patient outcomes while advising content and product teams.
🕒 17 days ago
Build trusted scientific relationships with healthcare professionals, deliver compliant clinical and product education, support evidence generation and clinical trials, and share field insights that inform Medical Affairs strategy.
📅 Sep 1
Annotate de-identified clinical documents by mapping relevant concepts to SNOMED CT, applying detailed coding guidelines, flagging ambiguous cases, and participating in quality adjudication.
📅 Aug 14
Review AI-generated health coaching responses for clinical accuracy, patient safety, and regulatory compliance, using structured rubrics and concise feedback to improve patient-facing guidance.