Labela · 2 weeks ago
Pediatrics Expert (AI Evaluation)
United States
Full-time
Remote
Senior Level
$80/hr - $200/hrLabela is a company that helps health and life science professionals connect with AI companies to train frontier models. They are seeking part-time pediatric experts to support the evaluation and improvement of health AI models, focusing on the prioritization, interpretation, and application of pediatric medical evidence across clinical contexts.
Computer Software
Responsibilities
Apply expert judgment to evaluate pediatric-focused medical evidence and content
Contribute to structured evaluations assessing AI safety, evidence quality, and age-appropriate clinical alignment
Identify and document pediatric-specific failure modes and edge cases (e.g., weight-based dosing errors, age-inappropriate recommendations, unsafe triage advice)
Identify gaps or misalignment in how pediatric evidence is represented
Maintain strict confidentiality and NDA compliance
Qualification
Required
Clinical training in pediatrics or closely related fields
Board-certified or board-eligible pediatricians
Pediatric fellows or residents with strong clinical or research experience
Active or recent involvement in pediatric clinical care and/or research
Familiarity with evidence-based pediatrics and guideline-driven care
Strong professional judgment and ability to articulate brief, concrete rationales
Interest in AI evaluation and responsible use of pediatric health data
Reliable remote setup and comfort working asynchronously
Preferred
Training at strong academic medical centers or leading children's hospitals
Subspecialty expertise (e.g., neonatology, infectious disease, pulmonology, cardiology, neurology, emergency medicine)
Regular engagement with pediatric literature (author, reviewer, or frequent reader)
Thoughtful, conservative approach to safety, risk, and evidence quality
Clear communicator with strong follow-through
Company
Labela
Labela helps health and life science professionals connect with AI companies to train frontier models.
Founded in 2025
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase