Clinical Researcher

In this hourly, remote contractor position, you will serve as a Clinical Researcher Subject Matter Expert (SME) responsible for reviewing AI-generated clinical research and biomedical content or creating expert-level research materials. Your role involves evaluating the quality of reasoning and scientific problem-solving, providing precise written feedback, and ensuring the accuracy and clarity of AI outputs. You will identify errors related to study design, statistics, endpoint selection, bias, clinical trial methodology, and evidence interpretation. Additionally, you will fact-check medical and scientific claims, write clear explanations and model solutions that demonstrate correct research reasoning, and rate multiple AI-generated responses based on their correctness and reasoning quality. This opportunity is with SME Careers, a subsidiary of SuperAnnotate, a rapidly growing AI Data Services company that supports some of the world’s leading AI organizations and foundation-model labs.

Your expertise in clinical research will directly contribute to enhancing the accuracy, reliability, and clarity of AI models’ evidence appraisal, trial interpretation, and research communication.

Key Responsibilities
- Develop AI Training Content by creating detailed prompts and gold-standard answers focused on clinical research methodology, interpretation, and scientific communication.
- Optimize AI Performance through evaluating and ranking AI responses to improve correctness, rigor, clarity, and contextual relevance.
- Ensure Model Integrity by testing AI outputs for inaccuracies, misleading interpretations, unsafe recommendations, and bias, while validating reliability across various use cases.

Required Qualifications
- Bachelor’s degree or higher in a relevant field such as Public Health (MPH), Epidemiology, Biostatistics, Clinical Research, Biomedical Sciences, PharmD, MD/DO, RN, or related disciplines.
- Minimum of 5 years of professional experience in clinical research within settings such as academia, hospitals, CROs, biopharma, or public health research.
- Strong understanding of clinical research fundamentals, including study design, endpoints, inclusion/exclusion criteria, power/sample size considerations, and result interpretation.
- Proficiency in evaluating statistical reasoning, including effect sizes, confidence intervals, p-values, multiple comparisons, missing data, and sensitivity analyses.
- Deep knowledge of bias, confounding, and causality concepts, such as randomization, blinding, selection bias, measurement bias, survivorship bias, and collider bias.
- Familiarity with clinical trial operations concepts like protocols, deviations, adverse event (AE/SAE) logic, data quality, and monitoring, as well as Good Clinical Practice (GCP) principles, is advantageous.
- Exceptional attention to detail in fact-checking, with a minimum C1 level of English proficiency and strong scientific writing skills.
- Ability to work reliably and independently in a remote, hourly contractor role across different time zones, consistently delivering high-quality work.

Preferred Qualifications and Benefits
- Prior experience in AI data training or annotation, medical/scientific editorial quality assurance, systematic reviews, or guideline development is highly preferred.
- While there is no immediate project available, qualified candidates will be among the first contacted for upcoming opportunities and gain access to future projects through the expert network.

This role offers a unique chance to apply your clinical research expertise to advance AI technologies that improve global health research and communication.