You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in study design, statistics, endpoint selection, bias/confounding, clinical trial methodology, and evidence interpretation; fact-check medical and scientific claims; write high-quality explanations and model solutions that demonstrate correct research reasoning; and rate and compare multiple responses based on correctness and reasoning quality. Your clinical research expertise directly helps improve the world’s premier AI models by making their evidence appraisal, trial interpretation, and research communication more accurate, reliable, and clearly explained.

Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Why Work with SME Careers?

• Be a part of a forward-thinking team and help us train AI to communicate more effectively.
• Shape the Future of AI

  Your work directly contributes to how AI systems learn and communicate.

• Your Schedule, Your Rules

  Set your own hours and work around your life.

• Weekly Pay

  Receive fast, reliable payments once work is approved.

• Community Rewards

  Get rewarded for referrals with ongoing bonus income.

• Develop AI Training Content: Create detailed prompts and gold-standard answers across clinical research methodology, interpretation, and scientific communication.
• Optimize AI Performance: Evaluate and rank AI responses to improve correctness, rigor, clarity, and contextual relevance.
• Ensure Model Integrity: Test AI outputs for inaccuracies, misleading evidence interpretation, unsafe recommendations, and bias; validate reliability across use cases.

• Bachelor’s degree (or higher) in a relevant field (e.g., Public Health/MPH, Epidemiology, Biostatistics, Clinical Research, Biomedical Sciences, PharmD, MD/DO, RN, or related).
• 5+ years of professional experience in clinical research (academia, hospitals, CROs, biopharma, public health research, or similar).
• Strong command of clinical research fundamentals: study design, endpoints, inclusion/exclusion criteria, power/sample size intuition, and interpretation of results.
• Comfortable evaluating statistical reasoning (effect sizes, confidence intervals, p-values, multiple comparisons, missing data, sensitivity analyses).
• Deep understanding of bias, confounding, and causality (randomization, blinding, selection bias, measurement bias, survivorship, collider bias).
• Familiarity with clinical trial operations concepts (protocols, deviations, AE/SAE logic, data quality, monitoring) and/or GCP principles is a plus.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Prior experience with AI data training/annotation, medical/scientific editorial QA, systematic reviews, or guideline work is strongly preferred.

Required

Work arrangement: Fully remote

Applicant eligibility: 17 eligible countries