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AI Red Team Specialist - Remote | Upto 25/hr

AI Red Team Specialist - Remote | Upto 25/hr

Mercor
Fresher
  • Posted 10 hours ago
  • Be among the first 10 applicants

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 & Indonesian

Type:Contract

Compensation:$17–$25/hour

Location:Remote

Role Responsibilities

  • Red team conversational AI models and agents. Focus on jailbreaks, prompt injections, misuse cases, and bias exploitation.
  • Generate high-quality human data. Annotate failures, classify vulnerabilities, and flag systemic risks.
  • Apply structure using taxonomies, benchmarks, and playbooks to maintain consistent testing.
  • Document reproducibly. Produce reports, datasets, and attack cases that customers can act on.

Qualifications

Must-Have

  • Fluent in English and Indonesian.
  • Prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing.
  • Ability to explain risks clearly to technical and non-technical stakeholders.

Preferred

  • Experience in Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction.
  • Background in Cybersecurity: penetration testing, exploit development, reverse engineering.
  • Knowledge of socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing.

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: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: [Confidential Information]

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

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Key Skills

abuse analysis

adversarial ML

socio-technical risk

jailbreak datasets

prompt injection

conversational AI testing

model extraction

exploit development

DPO attacks

RLHF

About Company