Cybersecurity Expert

Vraify; Deutschland; Remote; EUR 37,000 - 62,000; Full time

Job summary

Vraify seeks contributors for remote, project-based work focused on secure coding and cybersecurity task evaluation. You will create or solve advanced tasks, stress-test generated code, and document failures with reproducible evidence.

You should assess code across application and cloud security, perform vulnerability analyses, and communicate results in clear English. Remote freelance work with hourly pay up to $50, depending on project and expertise.

Qualifications

• Strong practical depth in secure coding and cloud security.
• Ability to navigate unfamiliar code and communicate decisions clearly.
• Evidence such as GitHub work or portfolio is welcome.
• AI-evaluation experience is useful but not required.

Responsibilities

• Create, solve, or review realistic tasks involving secure coding and threat modelling.
• Test AI-generated code and agent traces for correctness and edge cases.
• Write tests, patches, and explanations of failure modes.
• Review peer-authored tasks for realism and evaluation criteria.

Skills

Secure coding depth

Threat modelling

Vulnerability analysis

Defensive engineering

Job description

Help us find where advanced coding agents break in cybersecurity. Build or solve realistic tasks, stress-test generated code, and explain failures with reproducible evidence. Remote project-based work can pay up to $50/hour, depending on the project and demonstrated expertise.

What you'll do

• Create, solve, or review realistic tasks involving secure coding, application and cloud security, threat modelling, vulnerability analysis, and defensive engineering.
• Test AI-generated code and agent traces for correctness, edge cases, regressions, unsafe assumptions, and incomplete fixes.
• Write strong tests, reference patches, expected outcomes, and concise explanations of the failure mode.
• Review peer-authored tasks for realism, reproducibility, difficulty, and clean evaluation criteria.

What we look for

• Strong practical depth in secure coding, application and cloud security, threat modelling, vulnerability analysis, and defensive engineering.
• Ability to navigate unfamiliar code or specifications and communicate technical decisions in clear written English.
• Verifiable evidence such as meaningful GitHub work, shipped software, a competition profile, technical writing, or a portfolio. Confidential industry work can be described in the application without exposing proprietary material.
• Prior AI-evaluation experience is useful but not required; strong engineering judgement and testing discipline matter more.