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Cybersecurity – AI Safety, Contract
mpathicCybersecurity expert at mpathic.ai designing prompts and evaluating AI systems for safety and reliability. Applying cybersecurity principles to enhance AI's understanding of software security and vulnerabilities.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in cybersecurity principles and secure software development, with a strong focus on evaluating AI-generated content and providing actionable feedback. Proficient in applying structured evaluation rubrics to ensure high-quality assessments in sensitive security contexts.
Highest-signal resume keywords
Cybersecurity PrinciplesSecure Software DevelopmentAI EvaluationTechnical CommunicationVulnerability Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software EngineeringApplication SecurityNetwork SecurityCloud InfrastructureVulnerability ResearchPenetration TestingSecurity EngineeringModel AssessmentData Annotation WorkflowsTechnical Reasoning
Soft Skills
Written CommunicationSound JudgmentAttention to Detail
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Cybersecurity
Industry Keywords
High-Growth StartupEstablished Technology CompanyDual-Use SecurityRed-TeamingBenchmarking
Tech Stack
Tools & technologiesCloudCyber Security
About the role
Key responsibilities & impact- Design realistic, expert-level cybersecurity prompts spanning areas such as application security, network security, cloud infrastructure, vulnerability management, and secure software development.
- Evaluate AI-generated responses for technical accuracy, completeness, and practical usefulness.
- Assess how models handle sensitive and dual-use cybersecurity scenarios, ensuring responses are responsible and aligned with project guidelines.
- Apply structured evaluation rubrics to annotate prompts and model outputs with consistency and precision.
- Provide clear, actionable feedback that helps improve the performance, safety, and reliability of frontier AI systems.
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Cybersecurity, or a closely related technical field.
- 5+ years of professional software engineering experience at a high-growth startup or established technology company.
- Deep knowledge of cybersecurity principles, modern software systems, and secure development practices.
- Excellent technical reasoning and strong written communication skills in English.
- Sound judgment when working with sensitive or dual-use security topics.
- The ability to apply detailed guidelines while maintaining high-quality, consistent evaluations.
- Nice to have: Experience in offensive security, penetration testing, vulnerability research, security engineering, or a related discipline.
- Previous experience evaluating, reviewing, benchmarking, or red-teaming technical or AI-generated content.
- Familiarity with AI evaluation, model assessment, or human-in-the-loop data annotation workflows.
Benefits
Comp & perks- Contract, project-based position.