AI Safety Expert - Adversarial ML

Mercor · India

  • Experience2–5 yrs
  • SalaryDisclosed
  • Work moderemote
  • Levelmid
  • Posted18 Sept 2026
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About Mercor

Mercor is hiring in India in technology software. This role looks for around 2+ years of experience.

Skills

  • English
  • Gujarati
  • Adversarial ML
  • AI safety
  • Conversational AI
  • Human data annotation
  • Vulnerability classification
  • Prompt injection
  • Jailbreak testing
  • Bias analysis
  • Taxonomies
  • Benchmarks
  • Quality standards

The role

An AI safety expert at a technology marketplace red-teams conversational AI models through Adversarial ML, prompt injection analysis, and cybersecurity, while applying English and Gujarati language expertise to evaluate model risks and generate human data.

Full job description

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 & Gujarati

Type: Contract

Compensation: $16–$22/hour

Location: Remote

Role Responsibilities

Red team conversational AI models and agents by identifying jailbreaks, prompt injections, misuse cases, and bias exploitation.Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks.Apply structure by following taxonomies, benchmarks, and playbooks to maintain 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

Native fluency in English and Gujarati.Strong judgment about language and content accuracy, completeness, and appropriateness.Rigorous attention to detail, noticing subtle errors and inconsistencies.Ability to work to guidelines and quality standards consistently.Clear communication skills for technical and non-technical audiences.Adaptability across projects, task types, and customers.

Preferred

Experience with Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction.Background in Cybersecurity: penetration testing, exploit development, reverse engineering.Understanding of socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing.Skills in creative probing: psychology, acting, writing for unconventional adversarial thinking.

Application Process (Takes 20–30 mins to complete)

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Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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