Neuroscience QA Lead for AI Training Projects Remote Contract
Overview
As a remote contract QA lead, you oversee quality across neuroscience and cognitive science AI training items, ensuring outputs align with client rubrics. You review AI-generated explanations, research summaries, and llm evaluation of brain-behavior concepts for accuracy and clarity. You document guidelines and support onboarding to keep contributors aligned with project standards. You help activate contributors, manage remote QA workflows, and communicate updates through Discord and other collaboration tools.
What You'll Do8
- 1Spot-check neuroscience and cognitive science content, flag quality gaps, and relay precise written feedback to trainers and QAs.
- 2Assess ai training outputs, including explanations and research summaries, for accuracy and adherence to rubrics.
- 3Communicate updates on guidelines and review standards to the team via Discord and shared docs.
- 4Address questions around neural mechanisms, experimental design, and statistics with clear explanations.
- 5Coordinate onboarding and training sessions, document calibration tasks, and maintain style guides and FAQs.
- 6Identify recurring quality gaps, propose scalable QA improvements, and help implement new workflows.
- 7Monitor trainer and QA activity, encourage consistency, and flag availability issues as needed.
- 8Ensure ethical review and methodological caution when reviewing brain-related claims.
Requirements10
- 1Bachelor’s, Master’s, PhD, MD/PhD, or equivalent in neuroscience and cognitive science or related field such as psychology, neurobiology, computational neuroscience, biology, or related field.
- 2Excellent written and spoken English to follow project guidelines and provide clear feedback.
- 33+ years in neuroscience or cognitive science research, teaching, lab work, review, or related scientific workflows.
- 4Strong understanding of neural systems, cognition, perception, attention, memory, learning, language, decision-making, and brain-behavior relationships.
- 5Ability to evaluate neuroscience content against rubrics and identify neuromyths, overclaims, pseudoscience, or misinterpretations.
- 6Familiarity with EEG and fMRI, behavioral experiments, computational modeling, neuropsychological assessment, statistics, Python or R or MATLAB, or literature review.
- 7Experience leading or supporting remote teams of researchers, reviewers, educators, or QA is strongly preferred.
- 8Comfort working in fast-moving remote environments using Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
- 9Highly detail-oriented and organized, with ability to maintain style guides, onboarding materials, calibration tasks, and documentation.
- 10Experience with AI training, data annotation, LLM evaluation, scientific QA, or rubric-based review is a strong plus.
Who Should Apply
Ideal candidates bring at least three years of hands-on neuroscience or cognitive science work across research or teaching. They excel at applying detailed rubrics to AI training content and can spot neuromyths, overclaims, or misinterpretations in brain-related topics. Clear English communication and comfort coordinating with remote teams using Discord and collaborative docs are essential. This role may be less suitable for applicants lacking domain expertise or who struggle with asynchronous, remote collaboration or strict QA timelines.
Salary Insight
$0-90/hr. This hourly contract aligns with specialist-level science QA work and project milestones.
Location
Required Skills
Application Tip
Provide a concise example of rubric-based QA feedback you authored for a neuroscience item, including before/after quality improvements and the rubric criteria used.
See NearSkill jobs more often in your search
How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
Similar open positions
Explore active roles that match your skills and interests.
SME Careers
VerifiedPsychology QA Lead for AI Training (Remote Contract)
As a psychology QA Lead, you oversee quality across remote AI training projects focused on mental health and behavioral science. Review AI-generated psychology explanations and trainer outputs against detailed rubrics, delivering precise written feedback that guides improvement. Maintain clear documentation, style guides, onboarding materials, and calibration tasks so contributors stay aligned as projects evolve. Collaborate with remote experts through Discord, Google Sheets, and Google Docs to coordinate QA work and activation.
SME Careers
VerifiedData Science Team Lead for AI Training QA Remote
This remote contract role places you as a data science QA Lead guiding quality and consistency across AI training programs. You review AI-generated content and trainer outputs, applying quality standards and providing precise written feedback to uphold guidelines. You assess statistics and model evaluation to detect issues such as data leakage or non-reproducible code. You support onboarding, maintain documentation, and help activate contributors who drift from guidelines.
SME Careers
VerifiedBiology QA Lead for Remote AI Training Projects
Remote hourly contractor role focused on overseeing biology QA within AI training programs. You will review AI-generated biology content and trainer outputs, ensuring alignment with project rubrics and scientific accuracy. Provide precise written feedback and maintain documentation for biology workflows to support consistent QA standards. Strong biology expertise and clear English communication help guide remote trainers as projects scale.
SME Careers
VerifiedEnglish QA Lead for AI Training Data Projects
As a remote, hourly English QA Lead, you oversee quality across AI training projects, reviewing ai training data content and coaching a distributed team of trainers and QAs. You assess accuracy, clarity, tone, and instruction compliance against project rubrics, delivering precise, written feedback that guides improvements. You’ll maintain style guides and onboarding materials, and keep guidelines current for a fast-moving remote team via Discord and collaboration tools. This role partners with SME Careers and the SuperAnnotate ecosystem to elevate quality for leading AI models.
SME Careers
VerifiedBiomedical Engineering QA Lead Remote Contract Role
Support the quality of biomedical engineering AI training programs as a contract QA lead, remotely. You will oversee consistency across trainer and reviewer outputs, evaluating AI training-generated biomedical content for accuracy against rubrics. Provide precise written feedback to improve explanations, calculations, and regulatory documentation for medical devices. Lead remote teams and apply structured QA practices to ensure safe, clear biomedical reasoning in projects involving biomaterials, biomechanics, and medical devices.
SME Careers
VerifiedMedical QA Lead for Remote AI Training Reviews
Remote contract role overseeing medical QA across AI training projects in clinical content. You will review AI-generated explanations, case analyses, and patient-facing materials, measuring them against project rubrics to protect patient safety and accuracy. You will draft precise feedback for trainers and QAs and maintain up-to-date guidelines and onboarding materials. Strong medical expertise and fluent English are essential to coordinate distributed teams and sustain reliable documentation.