AI Safety Expert - Adversarial ML
- Status
- Open
- Remote policy
- Remote
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- AI-Safety, Adversarial-ML, Red-Teaming, Machine-Learning, Cybersecurity, Adversarial-ML-Specialist, Adversarial-ML-Engineer, AI-Safety-Specialist, Adversarial-ML-Researcher, AI-Adversarial-Specialist, AI-Safety-Researcher, AI-Safety-Analyst, AI-Safety-Evaluator
- Tech
- remote-countryml
- Source
- himalayas
- First observed
- 2026-09-20 11:18 UTC
- Last seen
- 2026-09-20 11:18 UTC
- Source claims posted
- 2026-09-20 11:01 UTC
- Consecutive misses
- 0 of 10
What the posting says
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: AI Safety Experts — English & Tamil
Type:Contract
Compensation:$16–$22/hour
Location:Remote
Role Responsibilities
Red team conversational AI models and agents through jailbreaks, prompt injections, and misuse cases. Identify bias exploitation and multi-turn manipulation.
Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks.
Apply structure by following taxonomies, benchmarks, and playbooks to ensure consistent testing.
Document reproducibly by producing reports, datasets, and attack cases that customers can act on.
Work independently and asynchronously to meet deadlines while improving AI model performance.
Qualifications
Must-Have
Fluent Language Skills Required: English & Tamil. Native fluency in English and Tamil is required.
Strong judgment about language and content accuracy, completeness, and appropriateness.
Rigorous attention to subtle errors, inconsistencies, and gaps.
Structured approach to work, adhering to guidelines and quality standards.
Clear communication with both technical and non-technical audiences.
Adaptability across projects, task types, and customers.
Preferred
Experience in Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction.
Cybersecurity skills: penetration testing, exploit development, reverse engineering.
Knowledge of socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing.
Creative probing skills: psychology, acting, writing for unconventional adversarial thinking.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#875112 2026-09-20 11:18 UTCPublished