7 days ago

Healthcare Expert

Keystone Recruitment

Hybrid
Contractor
$350,000
Hybrid

Job Overview

Job TitleHealthcare Expert
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$350,000
LocationHybrid

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Job Description

Role Overview

Keystone Recruitment's client, a leading AI research organization, is seeking a Healthcare Expert to evaluate and refine advanced conversational AI systems used in healthcare and medical contexts. This remote, hourly contract role ensures AI outputs are accurate, clear, safe, and aligned with real-world healthcare standards for clinical and health-related questions.

Key Responsibilities

  • Write and refine prompts that guide AI behavior in healthcare and medical scenarios.
  • Evaluate AI-generated responses to healthcare-related queries for accuracy, clarity, reasoning, and completeness.
  • Verify all medical claims using trusted public sources and authoritative references.
  • Annotate and score model outputs by identifying strengths, weaknesses, and factual or clinical inaccuracies.
  • Assess tone, appropriateness, and completeness of responses for real-world healthcare communication.
  • Ensure all outputs align with defined system guidelines and conversational standards.
  • Apply standardized evaluation frameworks, taxonomies, and benchmarks consistently.

Required Qualifications

  • At least 5 years of professional experience in healthcare.
  • An advanced healthcare-related degree or credential (e.g., MD, DO, RN, NP, PA, PharmD, MPH, or equivalent).
  • Expertise in one or more of the following areas: General clinical care, Specialty medicine or surgery, Diagnostics, imaging, or laboratory medicine, Public health, healthcare systems, or healthcare administration.
  • Strong familiarity with large language models (LLMs) and how they are used in practice.
  • Excellent written communication skills for complex medical topics.
  • Exceptional attention to detail and ability to detect subtle clinical or factual errors.

Preferred Qualifications

  • Experience with RLHF, AI evaluation, or data annotation.
  • Background in medical writing, editing, or clinical documentation.
  • Experience explaining medical information to non-clinical audiences.
  • Familiarity with structured evaluation rubrics or quality scoring systems.

What Success Looks Looks

  • You consistently identify medical inaccuracies, unsafe reasoning, or unclear explanations.
  • Your feedback improves the reliability, clarity, and safety of healthcare-related AI outputs.
  • You deliver high-quality, reproducible evaluation data that strengthens AI model performance.

Contract & Payment Terms

  • Independent contractor engagement with flexible scheduling.
  • Fully remote, with weekly payments via Stripe or Wise.
  • Project scope varies; no H1-B or STEM OPT sponsorship available.

Application Process

Submit your resume for review. Selected candidates will complete a short healthcare-focused evaluation or screening form.

Key skills/competency

  • Healthcare Expertise
  • AI Evaluation
  • Medical Accuracy
  • Clinical Reasoning
  • Prompt Engineering
  • Large Language Models
  • Data Annotation
  • Medical Writing
  • Clinical Documentation
  • Healthcare Communication

Tags:

healthcare expert
AI evaluation
medical accuracy
clinical care
prompt engineering
data annotation
medical writing
healthcare administration
public health
quality assurance
Large Language Models
Artificial Intelligence
Machine Learning
Natural Language Processing
conversational AI
evaluation frameworks
data annotation tools
RLHF
structured rubrics
data validation

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How to Get Hired at Keystone Recruitment

  • Research Keystone Recruitment's client: Study the AI research organization's mission and recent advancements in healthcare AI.
  • Tailor your resume: Highlight your 5+ years of healthcare experience, advanced medical credentials, and any AI/LLM familiarity.
  • Showcase medical writing skills: Prepare examples demonstrating your ability to communicate complex medical topics clearly and concisely.
  • Emphasize attention to detail: Be ready to discuss instances where you identified critical errors or ensured clinical accuracy.
  • Prepare for the evaluation: Familiarize yourself with AI response evaluation and medical claim verification processes.

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