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. Applicant pay shown: Up to $100/hour.
- Platform
- SME Careers
- Fit category
- Research and academia
- Remote/location
- Remote — The United States
- Pay
- Advertised ceiling: Up to $100/hour
- Eligibility
- Remote, U.S. eligibility signal
- Difficulty
- Selective
- Last reviewed
- Jul 19, 2026
Current application
Check the current SME Careers listing
Apply on SME CareersReview 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 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.
Requirements
- 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.
- Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.
- 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.
Best for
- People with credible research, science, or education expertise
- Applicants comfortable with role-specific screening for Red-Teaming 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 Red-Teaming 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.