AI Red-Teamer — Adversarial Testing | $50.5/hr | Remote (US & Europe) | English & French Required
Mercor is assembling an elite red team to probe AI models with adversarial inputs, surface vulnerabilities, and generate critical safety data. Help us make AI safer by attacking it first—before adversaries do.
Type: Full-time or Part-time Contract Work
Language Requirement: Native-level fluency in both English and French is required.
Why This Role Exists
We believe the safest AI is one that's already been tested under adversarial conditions. As an AI Red-Teamer, you'll be a human data expert who probes conversational AI models, identifies weaknesses, and creates the datasets that strengthen AI safety for our customers.
Note: This project involves reviewing AI outputs on sensitive topics including bias, misinformation, and harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional with clear guidelines and wellness resources provided.
What You'll Do
- Red team conversational AI models and agents: execute jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation attacks
- Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
- Apply structured methodologies: follow taxonomies, benchmarks, and playbooks to ensure consistent testing
- Document reproducibly: produce actionable reports, datasets, and attack cases for customers
Who You Are
- Experienced in red teaming (AI adversarial work, cybersecurity, or socio-technical probing)
- Naturally curious and adversarial: you instinctively push systems to their breaking points
- Methodical and structured: you use frameworks and benchmarks, not just random exploits
- Excellent communicator: you explain risks clearly to both technical and non-technical stakeholders
- Highly adaptable: you thrive when moving across diverse projects and customers
Nice-to-Have Specialties
- Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
- Cybersecurity: penetration testing, exploit development, reverse engineering
- Socio-technical risk: harassment/disinformation probing, abuse analysis, conversational AI testing
- Creative probing: psychology, acting, or writing backgrounds for unconventional adversarial thinking
What Success Looks Like
- You uncover vulnerabilities that automated tests miss
- You deliver reproducible artifacts that strengthen customer AI systems
- Evaluation coverage expands: more scenarios tested, fewer surprises in production
- Mercor customers trust their AI safety because you've already probed it like an adversary
Why Join Mercor
- Build frontier experience in human data-driven AI red teaming and safety
- Play a direct role in making AI systems more robust, safe, and trustworthy
- Work with cutting-edge AI models and contribute to the future of AI safety
Contract rate is competitive and commensurate with experience, reflecting the expertise required and scope of work.
