AI Safety Expert - Red Teaming

mercor; San Francisco (CA); Hybrid; GBP 50,000 - 65,000; Full time

Job summary

Mercor is seeking AI Safety Experts for remote contract work, fluent in English and Danish, to assess and improve AI safety by red-teaming models and documenting actionable risks. You will annotate failures and generate datasets to help customers strengthen their systems.

Ideal candidates have prior red-teaming in AI adversarial work or cybersecurity and excellent communication to convey risk to diverse stakeholders, with a preference for experience in adversarial ML or socio-technical risk

Qualifications

• Must be fluent in English and Danish.
• Prior red teaming experience in AI adversarial work or cybersecurity.
• Strong communication skills to explain risks to technical and non-technical stakeholders.

Responsibilities

• Red team conversational AI models and agents to identify 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.

Skills

English

Danish

Red Teaming

Communication

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 & Danish

Type: Contract

Compensation: $48–$62/hour

Location: Remote

Responsibilities

• Red team conversational AI models and agents to identify 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

• Fluent in English and Danish .
• Prior red teaming experience in AI adversarial work , cybersecurity , or socio-technical probing.
• Strong communication skills to explain risks clearly to both technical and non-technical stakeholders.

Preferred

• Experience in Adversarial ML , Cybersecurity , or socio-technical risk analysis.
• Skills in creative probing such as psychology, acting, or writing for unconventional adversarial thinking.