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Digital Forensics Analyst - AI Trainer

$40/hr•Full-timeRemote

location_on880 P, 880, P Street Northwest, Shaw, Logan Circle/Shaw, Ward 2, Washington, District of Columbia, 20001, United States

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Job Description

About the Role

We are looking for experienced cybersecurity professionals to join our team to help train AI models. In this role, you will evaluate AI-generated security content, solve technical cybersecurity problems, and provide feedback to improve how AI systems reason about real-world threats and defenses.

Cybersecurity platforms are increasingly powered by AI, but these systems still require practitioners with real-world experience to validate their outputs. You will work directly with advanced AI models to assess their accuracy, strengthen their reasoning, and contribute to building more reliable tools for the cybersecurity industry.

Work location

Work model: Remote

880 P, 880, P Street Northwest, Shaw, Logan Circle/Shaw, Ward 2, Washington, District of Columbia, 20001, United States

Washington, District of Columbia

Open in Google Maps(38.90913, -77.02370)

Key Responsibilities

  • check_circleEvaluate AI-generated cybersecurity content including threat analysis and vulnerability assessments
  • check_circleDesign and solve security-focused technical problems used to train AI systems
  • check_circleWrite clear technical explanations and security-relevant code
  • check_circleProvide feedback to improve AI systems' reasoning about real-world threats and defenses

Requirements

  • verified2+ years of hands-on experience in cybersecurity
  • verifiedSome coding experience required
  • verifiedFluency in English (native or bilingual level)
  • verifiedStrong writing and analytical skills
  • verifiedBachelor's degree preferred
  • verifiedCybersecurity certifications are a plus
  • verifiedAvailable in US, Canada, UK, Ireland, Australia, or New Zealand

Benefits & Perks

check_circleFull-time or part-time remote positioncheck_circleChoose which projects to work oncheck_circleWork on your own schedule

Skills, education and keywords

Skills: penetration testing, red teaming, incident response, detection engineering, dfir, malware analysis, threat intelligence, oscp, crto, grem.

Education: A bachelor’s degree is preferred.

Frequently asked questions about Digital Forensics Analyst - AI Trainer at DataAnnotation

What does a Digital Forensics Analyst - AI Trainer at DataAnnotation do?expand_more
In this Digital Forensics Analyst - AI Trainer at DataAnnotation role, you will evaluate ai-generated cybersecurity content including threat analysis and vulnerability assessments; design and solve security-focused technical problems used to train ai systems; write clear technical explanations and security-relevant code; and provide feedback to improve ai systems' reasoning about real-world threats and defenses.
What are the requirements for this Digital Forensics Analyst - AI Trainer role?expand_more
DataAnnotation is looking for candidates who meet the following requirements: 2+ years of hands-on experience in cybersecurity; Some coding experience required; Fluency in English (native or bilingual level); Strong writing and analytical skills; Bachelor's degree preferred; and Cybersecurity certifications are a plus.
What is the salary range for Digital Forensics Analyst - AI Trainer at DataAnnotation?expand_more
The advertised salary range for Digital Forensics Analyst - AI Trainer at DataAnnotation is $40/hr.
Where is the Digital Forensics Analyst - AI Trainer role at DataAnnotation located?expand_more
Digital Forensics Analyst - AI Trainer at DataAnnotation is based in 880 P, 880, P Street Northwest, Shaw, Logan Circle/Shaw, Ward 2, Washington, District of Columbia, 20001, United States. This is a remote role.
Is this Digital Forensics Analyst - AI Trainer job remote, hybrid, or on-site?expand_more
DataAnnotation has listed this Digital Forensics Analyst - AI Trainer role as remote.
How much experience is required for this Digital Forensics Analyst - AI Trainer role?expand_more
Digital Forensics Analyst - AI Trainer at DataAnnotation typically requires 2+ years of relevant experience at the mid level level.
What skills do you need for the Digital Forensics Analyst - AI Trainer role at DataAnnotation?expand_more
Key skills for Digital Forensics Analyst - AI Trainer at DataAnnotation include penetration testing; red teaming; incident response; detection engineering; dfir; malware analysis; threat intelligence; and oscp.
What education is required for Digital Forensics Analyst - AI Trainer at DataAnnotation?expand_more
Educational requirements for this role: A bachelor’s degree is preferred.
What category does the Digital Forensics Analyst - AI Trainer role belong to?expand_more
Digital Forensics Analyst - AI Trainer at DataAnnotation is part of the Information Technology job category on Recrutus.