Clinical Researcher for AI Content Review Remote Contract
Listing checked September 4, 2026 · pay as published by SME Careers
Overview
As a remote hourly contractor, you review ai_data_training-driven AI-generated clinical research and biomedical content, delivering precise written feedback. You assess reasoning and method, identifying gaps in study_design and endpoints, and you produce clear explanations and model solutions. You flag bias_and_confounding and other causality concerns, check data quality, and ensure alignment with gcp principles. This contract with SME Careers supports a growing ai_data_services ecosystem and opens doors to future collaboration.
What You'll Do6
- 1Develop AI training content by crafting prompts and gold-standard answers for clinical research methodology and interpretation, delivering ai_training_content and clinical_research insights.
- 2Evaluate AI responses for accuracy, rigor, and context; provide ranked feedback and concise explanations to improve model outputs, including ai_responses and explanations.
- 3Test AI outputs for inaccuracies, unsafe recommendations, and bias; validate reliability across use cases with ai_bias_detection and model_validation.
- 4Fact-check medical and scientific claims, then write high-quality explanations and model solutions that demonstrate sound reasoning with medical_claims and scientific_writing.
- 5Rate and compare multiple responses based on correctness and reasoning quality using comparative_analysis and reasoning_quality.
- 6Document outcomes to guide AI training iterations in clinical_trial_design and biostatistics to improve future prompts and solutions.
Requirements8
- 1Bachelor’s degree in a relevant field such as public_health, epidemiology, biostatistics, clinical_research, biomedical_sciences, pharmd, md/do, or rn.
- 25+ years of professional clinical_research_experience in academia, hospitals, CROs, biopharma, or public health research.
- 3Strong command of study_design, endpoints, inclusion_exclusion_criteria, power_analysis, and interpretation of results.
- 4Comfort evaluating statistical_reasoning including effect_sizes, confidence_intervals, p_values, multiple_comparisons, missing_data_methods, and sensitivity_analyses.
- 5Deep understanding of bias_and_confounding and causality including randomization and blinding; familiarity with clinical_trial_operations and/or gcp is a plus.
- 6Exceptional attention to detail and english_proficiency with strong scientific_writing.
- 7Reliable, self-directed professional who can deliver consistent quality in an hourly remote contractor workflow across time zones with remote_work and self_motivation.
- 8Prior experience with ai_data_training, medical_editorial_qa, systematic_reviews, or guideline_development is strongly preferred.
Who Should Apply
Ideal candidates hold a relevant advanced degree and at least 5 years in clinical_research with direct exposure to ai_data_training or editorial_qa. They excel at rigorous evaluation of study_design and statistics and can translate complex methods into clear, precise notes. This role suits professionals who work well independently in a remote, hourly contract and can deliver consistent quality across time zones, including across asynchronous work. Not a fit for applicants without hands-on clinical research experience or strong english_writing, or those who cannot work asynchronously.
Salary Insight
Pay: $0-$70/hr. This hourly remote contract aligns with ai_data_training and clinical_research engagements; compensation depends on scope and experience and is discussed during onboarding.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
up to $70/hr
Most AI Training roles pay $38–$95 per hour. This role's pay falls inside that range.
Based on 951 similar roles that publish pay · 300 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Most requested skills · share of roles
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Compensation
Up to $70/hr
Required Skills
Application Tip
Highlight your direct experience with AI data tasks and provide a concise sample showing how you would explain a clinical endpoint analysis or model solution, focusing on clinical_trial_design and biostatistics signals.
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