AI Red-Teamer - Adversarial AI Testing, English & Brazilian Portuguese
Hackajob
Job Overview
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Job Description
About Mercor
hackajob is collaborating with Mercor to connect exceptional tech professionals with this role. At Mercor, we believe in securing AI by proactively attacking it. We're building a red team of human data experts to probe AI models with adversarial inputs, uncover vulnerabilities, and generate the data needed to make AI safer for customers.
The Role: AI Red-Teamer - Adversarial AI Testing, English & Brazilian Portuguese
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 prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing).
- You’re curious and adversarial: you instinctively push systems to breaking points.
- You’re structured: you use frameworks or benchmarks, not just random hacks.
- You’re communicative: you explain risks clearly to technical and non-technical stakeholders.
- You’re adaptable: thrive on moving across 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/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.
Compensation
The contract rate for this project will be aligned with the level of expertise required, the sensitivity of the material, and the scope of work. Competitive rates commensurate with experience.
Location & Language
This is a Remote position, restricted to candidates located in the USA or Brazil. Native-level fluency in English and Brazilian Portuguese is required.
Key skills/competency
- AI Red Teaming
- Adversarial AI
- Vulnerability Assessment
- Prompt Injection
- Cybersecurity
- Data Annotation
- Risk Analysis
- Machine Learning Safety
- Conversational AI Testing
- Brazilian Portuguese Fluency
How to Get Hired at Hackajob
- Research Mercor's mission: Study their commitment to AI safety and innovation, understanding their unique approach to red teaming.
- Highlight adversarial skills: Customize your resume to showcase prior red teaming, cybersecurity, or socio-technical probing experience.
- Emphasize language proficiency: Clearly state native-level fluency in both English and Brazilian Portuguese for this specific role.
- Prepare for technical challenges: Be ready to discuss specific examples of identifying and documenting AI vulnerabilities in interviews.
- Demonstrate structured thinking: Show how you apply frameworks and benchmarks, not just random tests, to uncover system weaknesses.
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