Neuroscience Quality Assurance Lead

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring for this remote contractor opportunity, helping experts discover specialized projects, build a credible AI training portfolio, and grow their work in a fast-moving field.

• Remote contractor opportunity for candidates based in the United States
• Part-time schedule of 20+ hours per week
• Advertised compensation of up to $90 per hour

About AI Training Work

AI training is the human side of building artificial intelligence. Expert reviewers examine model-generated content, assess accuracy and reasoning, and provide structured feedback so AI systems can produce more reliable and useful results.

This work places scientific expertise directly into the development of advanced AI models. Contributors can work remotely and often build flexible, long-term careers by applying their subject knowledge to evaluation, annotation, and quality assurance projects.

• Review and evaluation work helps improve AI model behavior
• Scientific rigor, clarity, and careful reasoning are central to this project
• Remote work can fit around other professional or personal commitments

The Role

OpenTrain is seeking a Neuroscience Quality Assurance Lead to oversee neuroscience and cognitive science AI training projects. You will review AI-generated scientific content, evaluate trainer and QA work against project guidelines, provide precise written feedback, and help maintain consistent quality across the workflow.

Your reviews may cover scientific explanations, research summaries, experimental interpretations, brain-behavior claims, cognitive theory applications, and step-by-step reasoning. The work emphasizes factual accuracy, clarity, instruction-following, ethical awareness, and adherence to project rubrics.

• Role type: Part-time contractor
• Schedule: 20+ hours per week
• Location: Remote, United States
• Language: English
• Advertised rate: Up to $90 per hour
• Experience level: Intermediate

What You'll Do

You will contribute to both hands-on scientific review and the systems that make quality assurance scalable. The role includes communicating project updates to trainers and QAs, answering questions about neuroscience and research methods, and supporting consistent interpretation of project expectations.

You will also help strengthen project documentation and onboarding resources, enabling remote contributors to apply scientific standards consistently across neuroscience and cognitive science training data.

• 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, and misleading clinical implications
• Assess terminology, experimental interpretations, research methods, and statistical caution
• Maintain style guides, trackers, FAQs, examples, honeypots, calibration tasks, and onboarding materials
• Communicate workflow updates and quality expectations to trainers and QAs
• Support scalable QA processes for neuroscience and cognitive science projects

Requirements

This role requires strong expertise in neuroscience or cognitive science and the ability to explain scientific quality decisions clearly in written English. You should be comfortable reviewing research-based content and recognizing when a claim exceeds the evidence or misrepresents a neural mechanism, study design, or brain-behavior relationship.

You must have at least three years of experience in neuroscience or cognitive science research, teaching, laboratory work, scientific review, science communication, experimental design, or data analysis.

• Strong background in neuroscience, cognitive science, psychology, neurobiology, computational neuroscience, or a closely related field
• Broad understanding of neural systems and brain-behavior relationships
• 3+ years of relevant research, teaching, laboratory, review, communication, design, or analysis experience
• Experience reviewing scientific explanations, research summaries, or rubric-based QA
• Ability to identify neuromyths, overclaiming, flawed interpretations, incorrect terminology, and unsupported conclusions
• Strong written English communication for feedback, coordination, and documentation
• Familiarity with evaluating neuroscience methods, research literacy, and statistical caution

Preferred Experience

The following experience is preferred and may help you contribute across a wider range of neuroscience and cognitive science projects. Experience supporting distributed teams is particularly useful for communicating quality standards and maintaining calibration.

• Familiarity with EEG, fMRI, behavioral experiments, computational modeling, statistics, Python, R, MATLAB, or literature review
• Experience supporting or leading remote teams of researchers, reviewers, educators, annotators, science writers, or QAs

Who Should Apply

This opportunity suits an organized scientific reviewer who works carefully, communicates decisions precisely, and upholds rigorous standards for neuroscience and cognitive science content. It is designed for an expert who is comfortable collaborating remotely and wants to help improve the quality of AI training data.

• You are confident evaluating scientific accuracy and evidence-based reasoning
• You can give clear, actionable written feedback
• You are attentive to ethical boundaries and misleading clinical implications
• You can apply rubrics consistently while helping improve QA processes
• You want to use neuroscience expertise in the growing AI training industry

How to Apply Through OpenTrain

Create a free OpenTrain account to build your profile and apply for this opportunity. OpenTrain helps specialists showcase relevant experience, discover AI training projects, and develop a durable portfolio in data labeling and model evaluation.

• Submit your application through OpenTrain
• Highlight neuroscience or cognitive science expertise and relevant review experience
• Emphasize written English communication and remote collaboration skills
• Show familiarity with neuroscience methods, research interpretation, and statistical caution