First seen by our source: 20 days ago
AI Safety Expert - Adversarial ML
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring AI Safety Experts fluent in English and Kannada on a remote contract paying $16–$22/hour. The role red-teams conversational AI models and agents to find jailbreaks, prompt injections, misuse cases and bias exploitation, then documents the findings as reports, datasets and attack cases.
Pay:
$16–$22 an hour
Responsibilities:
- Red team conversational AI models and agents for jailbreaks and prompt injections
- Annotate failures and classify vulnerabilities as human data
- Apply taxonomies, benchmarks and playbooks for consistent testing
- Produce reports, datasets and attack cases for customer action
Requirements summary:
- Native fluency in English and Kannada
- Strong judgment about language and content accuracy
- Rigorous attention to subtle errors and gaps
- Ability to follow guidelines and quality standards
- Clear communication with technical and non-technical audiences
- Experience in adversarial ML or cybersecurity preferred
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-18
- Source record updated
- 2026-10-18
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Mercor
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We connect human expertise with leading AI labs and enterprises to train frontier models.
Full company description
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
- LinkedIn followers
- 654,507
- People associated on LinkedIn
- 5,250
- Reported office locations
- San Francisco, California 94105, US
- Business categories
- Employment
- Software
- Recruiting
- Data Collection and Labeling
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- Mercor
- Profile identifies a recruitment agency
- Yes
- Reported total investment
- 483,600,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2023 |
| Open jobs on Jobsy | 1,626 |
| View page |
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 & Kannada
Type: Contract
Compensation: $16–$22/hour
Location: Remote
Role 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 using taxonomies, benchmarks, and playbooks to maintain consistent testing.
- Document reproducibly by producing reports, datasets, and attack cases for customer action.
Qualifications
Must-Have
- Native fluency in English and Kannada.
- Strong judgment about language and content accuracy.
- Rigorous attention to subtle errors, inconsistencies, and gaps.
- Ability to work to guidelines and quality standards consistently.
- Clear communication with both technical and non-technical audiences.
- Adaptability across projects, task types, and customers.
Preferred
- Experience in Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction.
- Knowledge 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)
- 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: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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