AI Safety Expert - Bilingual

mercor; Indonesia; Remote; IDR 418,948,000 - 616,100,000; Full time

Job summary

Mercor is seeking AI Safety Experts fluent in English and Indonesian for a remote contract role. You will red team conversational AI models, exploring jailbreaks, prompt injections, misuse cases, and bias exploitation.

You will generate high‑quality data, annotate failures, document reproducible tests, and produce reports and datasets that customers can act on. Experience in adversarial ML or cybersecurity and the ability to explain risks to technical and non‑technical stakeholders is valued.

Qualifications

• 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 and cybersecurity disciplines.

Responsibilities

• Red team conversational AI models and agents, focusing 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.

Skills

Fluent in English

Fluent in Indonesian

Red teaming experience

Cybersecurity experience

Explain risks to stakeholders

Adversarial ML

Socio-technical risk awareness

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.