AI Safety Experts English & Tamil
neonNew York (NY)
About the role
Location
Remote
Fluent Language Skills Required
English & Tamil. Native fluency in English and Tamil is required for this position.
Why This Role Exists
At Mercor, we believe the safest AI is the one that's already been attacked - by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.
This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.
What You'll Do:
Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
Document reproducibly: produce reports, datasets, and attack cases customers can act on
Who You Are:
You bring strong judgment about language and content: you can tell whether an AI response is accurate, complete, and appropriate, and explain why
You're rigorous: you notice subtle errors, inconsistencies, and gaps that others skim past
You're structured: you work to guidelines and quality standards consistently, not ad hoc
You're communicative: you explain your reasoning clearly to technical and non-technical audiences
You're adaptable: you thrive moving across projects, task types, 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/disinfo probing, abuse analysis, conversational AI testing
Creative probing: psychology, acting, writing for unconventional adversarial thinking
What Success Looks Like: You uncover vulnerabilities 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 the safety of their AI because you've already probed it like an adversary
Why Join Mercor
Build experience in human data-driven AI red teaming at the frontier of safety
Play a direct role in making AI systems more robust, safe, and trustworthy
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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