Neuroscience Quality Assurance Lead

The Work

As a Neuroscience Quality Assurance Lead, you will review AI-generated neuroscience and cognitive science content and check trainer and QA work against project guidelines. You will help maintain accurate, clear, consistent, and well-documented scientific training data.

The work covers scientific explanations, research summaries, experimental interpretations, brain-behavior claims, cognitive theory, and step-by-step reasoning. You will also communicate quality expectations, answer scientific questions, and help improve the review process.

• Spot-check neuroscience and cognitive science items for quality issues.
• Review AI-generated explanations, summaries, and reasoning for accuracy and clarity.
• Identify neuromyths, overclaiming, unsupported causal conclusions, flawed study interpretations, incorrect terminology, and misleading clinical implications.
• Review content for instruction-following, ethical awareness, and rubric adherence.
• Maintain style guides, trackers, FAQs, examples, calibration tasks, honeypots, and onboarding materials.
• Communicate workflow updates and quality expectations to trainers and QAs.
• Support onboarding, calibration, documentation, and scalable QA processes.

What It Pays and Takes

This is a remote, part-time contractor role for an experienced scientific reviewer who can explain decisions clearly and uphold rigorous standards for neuroscience and cognitive science content.

• Pay: Up to $90 per hour.
• Time: 20+ hours per week.
• Location: United States.
• Language: Strong written English.
• Experience level: Intermediate.
• Education and background: Neuroscience, cognitive science, psychology, neurobiology, computational neuroscience, or a closely related field.
• Experience: At least 3 years in neuroscience or cognitive science research, teaching, laboratory work, scientific review, science communication, experimental design, or data analysis.
• Preferred knowledge: EEG, fMRI, behavioral experiments, computational modeling, statistics, Python, R, MATLAB, or literature review.
• Preferred experience: Supporting or leading remote teams of researchers, reviewers, educators, annotators, science writers, or QAs.

How It Works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI Training Work

AI training work is the human side of building AI systems. People review examples and model responses so AI can produce more accurate, useful, and responsible results, and experienced specialists are needed when the work requires deep scientific knowledge.