AI Safety Specialist - Fully Remote | Upto $62/hr
Budget / Salary$48–62
TypeContract
LocationIreland
Posted2 hours ago
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
Role Responsibilities
Red team conversational AI models and agents to identify jailbreaks, prompt injections, and misuse cases.
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 to produce 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 & Danish.
Prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing.
Strong communication skills to explain risks clearly to technical and non-technical stakeholders.
Ability to thrive on moving across projects and customers.
Preferred
Experience in Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction.
Cybersecurity skills: penetration testing, exploit development, reverse engineering.
Expertise in 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
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
Role Responsibilities
Red team conversational AI models and agents to identify jailbreaks, prompt injections, and misuse cases.
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 to produce 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 & Danish.
Prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing.
Strong communication skills to explain risks clearly to technical and non-technical stakeholders.
Ability to thrive on moving across projects and customers.
Preferred
Experience in Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction.
Cybersecurity skills: penetration testing, exploit development, reverse engineering.
Expertise in 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
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