Clinical Researcher

About the Role

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. 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.

Additional Information

• There is no immediate project for this role; if qualified, you will be among the first experts contacted when relevant opportunities arise and gain access to future projects through the expert network.
• This is an hourly, remote contractor workflow across time zones.

Responsibilities

• 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.
• Assess solutions for accuracy, clarity, safety, and adherence to prompts; identify errors in study design, statistics, endpoint selection, bias/confounding, clinical trial methodology, and evidence interpretation.
• Fact-check medical and scientific claims and write high-quality explanations and model solutions that demonstrate correct research reasoning.
• Rate and compare multiple responses based on correctness and reasoning quality.

Qualifications

• 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.
• Exceptional attention to detail when fact-checking; minimum C1 English proficiency with strong scientific writing.
• 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.

Skills / Required Skills

• Clinical research methodology and study design evaluation
• Statistical reasoning and data analysis for clinical studies
• Scientific writing, fact-checking, and editorial QA
• Experience evaluating or creating AI training/annotation content (preferred)
• Advanced English for scientific communication (C1+)