lilt-production - Healthcare & Life Sciences AI Rater & Evaluator
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Requirements
• Types of AI Evaluation Work • Depending on project demands, work may include: • Healthcare and medical content evaluation • Clinical reasoning and scientific accuracy assessment • Benchmarking and comparative model analysis • Safety-focused red-teaming and risk evaluation • Ongoing model monitoring and regression testing • What We Look For • Deep domain expertise in healthcare, medicine, or life sciences • Strong judgment and ability to apply criteria consistently • Comfort working with structured evaluation workflows • Ability to explain reasoning clearly, especially in safety-critical scenarios • Reliability, professionalism, and respect for quality standards • Engagement Model • Contract-based, flexible participation • Project-based work with clear expectations and timelines • Opportunities for recurring work based on performance and demand • Compensation communicated upfront per project or task type • Native or professional fluency in one or more supported languages is required • Supported languages span 30+ global languages • Language-specific nuance is assessed through screening and task-based evaluation, not separate job descriptions • English fluency is required for guidelines, feedback, and collaboration • AI is changing how the world communicates — and LILT is leading that transformation. • LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. • Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. • Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. • At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at [email protected].
Responsibilities
• Evaluate AI outputs related to healthcare, medical, and life sciences content • Perform structured scoring, comparison, classification, and judgment task • Assess clinical accuracy, scientific validity, completeness, and potential safety risk • Identify hallucinations, misleading medical guidance, unsupported claims, or unsafe recommendations • Apply domain-specific healthcare and life sciences guidelines consistently across tasks • Ideal Background • Healthcare professionals, clinical practitioners, life sciences researchers, or biomedical specialists • Experience interpreting medical literature, clinical guidelines, scientific research, or health data • Strong attention to detail and comfort working with structured evaluation criteria • TRACK B: HEALTHCARE & LIFE SCIENCES AI EVALUATOR (SENIOR TRACK) • Evaluators provide higher-level domain oversight and help shape how evaluation is performed. • Validate and refine evaluation rubrics and edge-case handling • Perform adjudication where raters disagree • Conduct error analysis and qualitative reviews of model behavior • Partner with LILT research, product, and customer teams on evaluation design • Support red-teaming, clinical risk analysis, and model readiness assessments • Ideal Background • Senior clinicians, healthcare leaders, medical researchers, or life sciences subject matter experts • Experience defining standards, reviewing complex edge cases, or advising on clinical or scientific risk • Ability to clearly explain nuanced medical or scientific reasoning and tradeoffs
Benefits
• Your expertise helps ensure that AI systems: • Provide accurate and safe healthcare-related information • Align with clinical and scientific standards • Are trustworthy and responsible across languages
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