{"html":"<p>In this hourly, remote contractor role, you will work as a Clinical Researcher Subject Matter Expert (SME) to review AI-generated clinical research and biomedical content and/or create expert research content, evaluating reasoning quality and step-by-step scientific problem-solving while providing precise written feedback. 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. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. 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.</p>\n<p>Important:\nThere 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.</p>\n<h3>Responsibilities</h3><ul><li>Develop AI Training Content: Create detailed prompts and gold-standard answers across clinical research methodology, interpretation, and scientific communication.</li><li>Optimize AI Performance: Evaluate and rank AI responses to improve correctness, rigor, clarity, and contextual relevance.</li><li>Ensure Model Integrity: Test AI outputs for inaccuracies, misleading evidence interpretation, unsafe recommendations, and bias; validate reliability across use cases.</li></ul><h3>Requirements</h3><ul><li>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).</li><li>5+ years of professional experience in clinical research (academia, hospitals, CROs, biopharma, public health research, or similar).</li><li>Strong command of clinical research fundamentals: study design, endpoints, inclusion/exclusion criteria, power/sample size intuition, and interpretation of results.</li><li>Comfortable evaluating statistical reasoning (effect sizes, confidence intervals, p-values, multiple comparisons, missing data, sensitivity analyses).</li><li>Deep understanding of bias, confounding, and causality (randomization, blinding, selection bias, measurement bias, survivorship, collider bias).</li><li>Familiarity with clinical trial operations concepts (protocols, deviations, AE/SAE logic, data quality, monitoring) and/or GCP principles is a plus.</li><li>Exceptional attention to detail when fact-checking; minimum C1 English proficiency with strong scientific writing.</li><li>Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.</li><li>Prior experience with AI data training/annotation, medical/scientific editorial QA, systematic reviews, or guideline work is strongly preferred.</li></ul>"}