[Remote] Detection Engineer - AI Trainer
Note: The job is a remote job and is open to candidates in USA. DataAnnotation is a company focused on developing cutting-edge AI systems, and they are seeking experienced cybersecurity professionals to advance AI development. The role involves evaluating AI-generated security content, solving technical security problems, and providing feedback to shape AI security models.
Responsibilities
- Evaluate AI-generated cybersecurity content — including threat analysis, vulnerability assessments, and offensive security techniques — for real-world accuracy and validity
- Design and solve security-focused technical problems used to train AI systems
- Write clear technical explanations and security-relevant code
- Provide feedback that directly shapes the next generation of AI security models
Skills
- 2+ years of hands-on experience in a cybersecurity role — such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government or military cyber operations
- Some coding experience required; comfort navigating and patching a codebase is key
- Fluency in English (native or bilingual level) with strong writing skills
- A bachelor's degree is preferred
- Cybersecurity certifications are a plus (e.g., OSCP, CRTO, GREM, GCFA, CEH, and similar)
Benefits
- Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
- Flexible schedule: choose which projects you take on and when you work.
- Competitive pay: projects are paid hourly up to $60 USD/hour, with bonuses for high-quality and high-volume work.
- Impact: help shape the future of AI technologies built for cybersecurity.
Company Overview