Healthcare Professional, SME – AI Evaluator

Job not on LinkedIn

🔥 3 minutes ago

🌐 United Kingdom, United States, +5 more countries – Remote

🇬🇧 United Kingdom – Remote 🇺🇸 United States – Remote 🇦🇺 Australia – Remote 🇳🇿 New Zealand – Remote 🇨🇦 Canada – Remote 🇮🇳 India – Remote 🇵🇭 Philippines – Remote

💵 $15 - $35 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 3%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Volga Partners

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Volga Partners is a technology services firm that specializes in Artificial Intelligence and Machine Learning solutions, data annotation and labeling, and development of customer service platforms powered by generative AI. The company also provides IT and software development services across web, app, full-stack, cybersecurity advisory, and e-commerce support, supported by a large multilingual crowd workforce and remote on-demand resources. Volga Partners focuses on partnering with enterprise clients to deliver scalable, cost-effective AI tooling, content moderation, linguistic services, and managed software projects.

📋 Description

• Evaluate AI-generated healthcare information for factual accuracy, completeness, clinical relevance, and consistency with established medical knowledge and guidelines • Assess AI-generated clinical assessments, differential diagnoses, and treatment-related explanations • Identify factual errors, unsupported assumptions, missing clinical considerations, and potential patient safety concerns • Conduct medical research and verify information using peer-reviewed literature, clinical practice guidelines, and established healthcare resources • Analyze hypothetical patient cases, symptoms, medical histories, laboratory findings, and diagnostic information • Provide evidence-based feedback and recommend appropriate corrections • Follow project-specific scoring rubrics, annotation instructions, and quality assurance guidelines • Complete independent evaluation tasks using designated online platforms, including DataCompute • Meet established deadlines and quality expectations • Maintain confidentiality and comply with privacy, ethical, and data security requirements

🎯 Requirements

• Current enrollment in the third or fourth year of a recognized medical degree program, an eligible medical internship or residency, or an advanced NP or PA educational program with relevant clinical training • Academic coursework, clinical rotations, or supervised training related to General Practice, Family Medicine, Internal Medicine, Nurse Practitioner practice, or Physician Assistant practice • Strong understanding of medical terminology, anatomy, physiology, pathology, pharmacology, and relevant clinical concepts • Ability to assess medical scenarios, interpret clinical information, and distinguish evidence-based reasoning from inaccurate or unsupported conclusions • Ability to research medical literature, interpret clinical guidelines, and validate findings using authoritative healthcare resources • Strong analytical reasoning, problem-solving abilities, and attention to detail • Excellent written English skills • Comfort working with computers, web-based platforms, digital documentation, and online research tools • Ability to follow detailed instructions, complete assignments independently, and meet established quality requirements • Willingness to participate in a remote, freelance engagement with project-dependent assignments and schedules • Second-year medical students must be enrolled at a top medical school • Third-year students and above are open to all qualifying programs • Relevant specialty or years of experience • Previous AI experience is not required • Independent medical licensure and previous employment as a licensed physician, Nurse Practitioner, or Physician Assistant are not required for eligible student-level assignments

🏖️ Benefits

• Project-based hourly compensation • Remote work from an eligible location • Flexible, variable schedule including potential weekday and weekend assignments • Exposure to AI evaluation, medical content assessment, and evidence-based research • Opportunity to apply medical education and clinical reasoning beyond traditional clinical settings • No AI background required • Workloads and assignments based on project availability

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