Red-Teaming Quality Assurance Lead (QAL)
Red-Teaming Quality Assurance Lead (QAL) is a remote contract SME Careers opportunity focused on quality monitoring: Spot-check red-teaming items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
- Pay
- Advertised ceiling: Up to $100/hour
- Location
- Remote — The United States
- Eligibility
- Remote; check the U.S. location wording
- Qualification difficulty
- Selective
How current is this information?
The public role and application path were checked. Details can still change; this is not an endorsement or guarantee.
- Platform
- SME Careers
- Fit category
- Research and academia
- Listing/source checked
- Sep 20, 2026
- Apply link checked
- Jul 19, 2026
Application
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What this role involves
Red-Teaming Quality Assurance Lead (QAL) is a remote contract SME Careers opportunity focused on quality monitoring: Spot-check red-teaming items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. The public role asks for bachelor’s, Master’s, or professional experience in Computer Science, Cybersecurity, AI Safety, Trust & Safety, Public Policy, Psychology, Linguistics, Law, Security Studies, Risk Analysis, or a related field.
Public responsibilities include quality monitoring: Spot-check red-teaming items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
Before you apply
Review the main fit signals and unresolved details before opening the platform.
Why it may fit
- People with credible research, science, or education expertise
- Applicants comfortable with role-specific screening for Red-Teaming Quality Assurance Lead (QAL)
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Reasons to pause
- You need guaranteed placement, hours, or continuous project work
- You cannot meet the current country or identity-verification requirements
Still to verify
- Review the current SME Careers public job details before applying. Country eligibility, AI interview steps, Deel or identity onboarding, pay, and project availability can vary by role and can change.
What to prepare
- Bachelor’s, Master’s, or professional experience in Computer Science, Cybersecurity, AI Safety, Trust & Safety, Public Policy, Psychology, Linguistics, Law, Security Studies, Risk Analysis, or a related field.
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Requirements
- 3+ years of experience in AI safety, red-teaming, cybersecurity, trust and safety, content policy, risk analysis, adversarial testing, model evaluation, content moderation, or related workflows.
- Strong understanding of AI risk categories, adversarial prompting, jailbreak patterns, harmful-content taxonomies, misuse scenarios, policy interpretation, model behavior, and safety evaluation principles.
- Ability to evaluate red-teaming content against detailed rubrics and identify issues such as weak adversarial design, unrealistic scenarios, poor risk categorization, policy misinterpretation, unsafe outputs, or superficial vulnerability testing.
Application tips
- 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.