informatics security consultant

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: Cybersecurity Labeling Expert

Type: Contract

Compensation: $100?$150/hour

Location: Remote

Duration: 2?3 week engagement

Commitment: 20+ hours/week

Role Responsibilities

- Analyze flagged AI conversations to assess intent and harm across domains like scaled data exfiltration , ransomware , worms , and exploits .

- Evaluate POC exploit development to determine boundaries between security research and malicious intent.

- Provide ground-truth labels to improve classifiers that enhance AI safety .

- Work independently and asynchronously to meet deadlines while improving AI model performance .

- Collaborate with security experts to ensure accurate threat assessments and labeling.

Qualifications

Must-Have

- Hands-on offensive security background: red team, malware analysis, pen testing, or exploit research.

- Ability to distinguish legitimate security work from genuine attack intent.

- Comfort interpreting code-heavy conversations.

- Masters or early-career through Senior/Principal experience.

Compensation & Legal

- Hourly contractor

- Paid weekly via Stripe Connect

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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Location

Toronto , ON

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Work location

On site

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Salary $ 150.00 DAY daily

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Terms of employment

Part time

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Starts as soon as possible

- vacancies

1 vacancy

- Source

Talent.com

#621374199903493124

Various locations - Toronto, ON