AI Health Coach Response Reviewer (US Registered Nurse)
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Job Description
Key Skills Required
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Key Responsibilities:
Structured Grading: Score AI agent responses against a pre-defined rubric, applying the highest-priority criteria consistently across a large volume of items.
Safety Review: Identify responses that could cause patient harm missed red flags, unsafe advice, failure to escalate or signpost to care.
Clinical Accuracy: Assess factual correctness, completeness and guideline alignment of clinical content.
Written Feedback: Provide brief, specific rationale for each failed response and general guidance on how it could be improved.
Qualifications
Licensure: Active RN license for US
Experience: Minimum 2 years of clinical nursing practice.
Knowledge: Strong grounding in clinical guidelines, patient safety and scope-of-practice boundaries.
Attention to detail: Proven accuracy and consistency in clinical documentation or review 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
Professional Development: Hands-on experience in AI evaluation and model fine-tuning, shaping how AI is deployed in patient care.
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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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