Job Information
💼 Position
Red-Teaming QA Lead
Red-Teaming QA Lead
🌍 Location
Remote
Remote
📋 Type
Contract
Contract
🛡️ Domain
AI Safety & Risk Evaluation
AI Safety & Risk Evaluation
Core Skills
AI Safety
Red Teaming
Adversarial Testing
LLM Evaluation
Risk Analysis
Content Policy
Trust & Safety
Cybersecurity
Prompt Injection
Policy QA
AI Testing Areas
- AI Safety Evaluation
- Jailbreak & Adversarial Testing
- Prompt Injection Analysis
- Risk Classification Validation
- Content Moderation QA
- Policy Compliance Testing
- Bias & Harm Assessment
- Model Vulnerability Discovery
Key Responsibilities
- Review red-teaming tasks, AI evaluations, and safety analyses.
- Assess adversarial prompts and model responses.
- Provide detailed feedback to trainers and QA teams.
- Maintain quality standards and project documentation.
- Lead onboarding, calibration, and quality alignment activities.
- Identify workflow improvements and recurring quality gaps.
Required Skills
- 3+ years in AI Safety, Trust & Safety, Red Teaming, or Risk Analysis.
- Strong understanding of LLM behavior and adversarial prompting.
- Knowledge of harmful-content taxonomies and policy interpretation.
- Experience reviewing AI outputs against detailed rubrics.
- Excellent written English communication skills.
- Ability to manage remote quality workflows and documentation.
Why This Role Matters
As AI models become more powerful, safety evaluation and red-teaming are critical for identifying vulnerabilities before deployment. This role directly contributes to improving AI safety, reducing harmful outputs, and strengthening the reliability of advanced language models used worldwide.
Disclaimer: This job information is shared for career guidance purposes only. Applications are processed through the employer's official recruitment platform.