Neuroscience Quality Assurance Lead (QAL)
Neuroscience Quality Assurance Lead (QAL) is a remote contract SME Careers opportunity focused on quality monitoring: Spot-check neuroscience/cognitive science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. Applicant pay shown: Up to $90/hour.
- Platform
- SME Careers
- Fit category
- Research and academia
- Remote/location
- Remote — The United States
- Pay
- Advertised ceiling: Up to $90/hour
- Eligibility
- Remote, U.S. eligibility signal
- Difficulty
- Highly selective
- Last reviewed
- Jul 19, 2026
Current application
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What this role involves
Neuroscience Quality Assurance Lead (QAL) is a remote contract SME Careers opportunity focused on quality monitoring: Spot-check neuroscience/cognitive science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. The public role asks for bachelor’s, Master’s, PhD, MD/PhD, or equivalent professional background in Neuroscience, Cognitive Science, Psychology, Neurobiology, Cognitive Psychology, Computational Neuroscience, Neurology-adjacent research, Biology, Biomedical Sciences, or a closely re…. Public responsibilities include quality monitoring: Spot-check neuroscience/cognitive science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
Requirements
- Bachelor’s, Master’s, PhD, MD/PhD, or equivalent professional background in Neuroscience, Cognitive Science, Psychology, Neurobiology, Cognitive Psychology, Computational Neuroscience, Neurology-adjacent research, Biology, Biomedical Sciences, or a closely re…
- Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.
- 3+ years of experience in neuroscience/cognitive science research, teaching, laboratory work, academic review, science communication, experimental design, data analysis, or related scientific workflows.
- Strong understanding of neural systems, cognition, perception, attention, memory, learning, language, decision-making, neuroanatomy, neural signaling, research methods, and brain-behavior relationships.
- Ability to evaluate neuroscience/cognitive science content against detailed rubrics and identify issues such as neuromyths, overclaiming, unsupported causal conclusions, flawed study interpretation, incorrect terminology, pseudoscience, or misleading clinical…
Best for
- People with credible research, science, or education expertise
- Applicants comfortable with role-specific screening for Neuroscience Quality Assurance Lead (QAL)
Skip this if...
- You need guaranteed placement, hours, or continuous project work
- You cannot meet the current country or identity-verification requirements
Application tips
- Prepare concise evidence that matches the Neuroscience Quality Assurance Lead (QAL) requirements.
- Expect role-specific screening; SME Careers documentation says AI may support the interview assessment while people make final decisions.
- Confirm current country eligibility, applicant pay, Deel or identity onboarding, and project availability before accepting work.