Physician for Clinical AI Model Review and Validation
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Job Description
Key Skills Required
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Key Responsibilities
Scenario Design: Design realistic clinical scenarios and instructions that mirror the work you carry out day-to-day in your specialty.
Content Review: Assess clinical outputs for accuracy, flagging anything incorrect, outdated or can cause harm.
Reference Answer Validation: Judge whether reference answers reflect what you would actually write in practice, including caveats, uncertainty and requests for further information.
Grading Criteria Assessment: Design and evaluate whether scoring criteria capture what matters clinically and whether each is weighted appropriately, particularly safety-critical items.
Written Rationale: Provide short, specific reasoning where you disagree, and note the weakness each new item is designed to expose.
Feedback & Continuous Improvement: Highlight edge cases and ambiguity to refine guidelines and improve consistency across reviewers.
Qualifications
Licensure: Registered doctor based in the US, Europe or Asia-Pacific.
Experience: Current or recent clinical practice in your stated specialty.
Knowledge: Strong grounding in current guidelines, diagnostic reasoning and clinical documentation standards.
Attention to detail: Proven accuracy and consistency in clinical review or assessment work.
Technical proficiency: Comfortable using structured review tools and digital platforms.
Language: Native or near-native written English.
Legal Status
You will have the right to work in your country of residence.
You will work as an independent contractor.
Why Join Us?
Flexible Work Arrangements: Part-time, remote and fully asynchronous.
Competitive Compensation: Hourly rate in line with specialty and level of experience.
Professional Development: Direct involvement in how frontier AI models are evaluated for clinical safety, working alongside clinicians and AI researchers.
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Aptura
View Company ProfileAptura AI is a premier, enterprise-grade data marketplace and AI training infrastructure platform engineered to orchestrate massive-scale proprietary dataset curation and intelligent, domain-expert RL environment workflows. Operating as a trailblazer in high-integrity data licensing and agent evaluation for regulated industries, the company eliminates the operational friction of traditional AI data acquisition—which frequently suffers from unverified scraping sources, severe compliance risks, and low-fidelity domain reasoning—by seamlessly deploying specialized expert annotation networks, verifiable task benchmarks, and zero-trust data licensing frameworks. Moving beyond generic web-scraped training corpora, Aptura AI empowers leading AI research labs, frontier model developers, and enterprise AI teams to dynamically source, license, and evaluate complex domain datasets across financial modeling, clinical oncology, and M&A legal frameworks with elite, scalable, and audit-ready precision. Under the hood, its sophisticated proprietary operational infrastructure—bolstered by strict data privacy safeguards, verifiable task-evaluation environments, and closed-loop domain expert feedback systems—natively manages high-stakes data ingestion, reinforcement learning from human feedback (RLHF), and compliant cross-border data transfer workflows, providing the necessary foundation for reliable frontier model deployment. What sets Aptura AI apart is its uncompromising dedication to high-precision domain alignment; by bridging the gap between deep specialized human expertise and next-generation AI model architectures, the firm enables frontier AI organizations to radically accelerate model accuracy, eliminate hallucination vectors in critical sectors, and build an unassailable foundation for trustworthy artificial intelligence in modern enterprise ecosystems.
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