Application Security Analyst

Alignerr Corp.; Cape Town; Remote; ZAR 228,000 - 911,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Ongoing contract opportunities

Job summary

Alignerr is seeking an Application Security Analyst (AI Training) to scrutinize real-world production security issues and shape how AI assesses risk. This remote, flexible contract role fits 10–40 hours per week and offers opportunities for ongoing work with a global expert community.

The role emphasizes hands-on security across code, APIs, and live systems, with collaboration to improve AI-driven risk reasoning and secure development practices.

Qualifications

• 2+ years of hands-on experience in application, product, or software security.
• Strong familiarity with the OWASP Top 10 and real production vulnerabilities.
• Ability to reason about risk in context and explain severity clearly.
• Confident written communicator with structured security thinking.
• Self-directed and comfortable working asynchronously on tasks.

Responsibilities

• Analyze realistic application security scenarios across code, APIs, and live systems.
• Classify and prioritize vulnerabilities — auth flaws, injections, and business logic risks.
• Evaluate secure coding practices and remediation strategies.
• Build and validate security-focused reasoning datasets to teach AI.
• Differentiate genuine exploitability from theoretical noise with practitioner judgment.

Skills

Security

App Security

OWASP Top 10

Risk reasoning

Clear communicator

Async work

Job description

Application Security Analyst (AI Training)

About The Role

Your ability to spot what actually breaks in production — not just what looks bad on paper — is exactly what the next generation of AI needs. At Alignerr, we partner with leading AI research labs to build models that reason about software security the way experienced practitioners do. That means we need people who've lived in the trenches of application security: people who can tell the difference between a critical auth flaw and a theoretical edge case.

This is a remote, flexible contract role where your real-world security knowledge directly shapes how AI understands and reasons about application risk.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Analyze realistic application security scenarios spanning code, APIs, and live system behavior
• Classify and prioritize vulnerabilities — authentication flaws, injection risks, business logic abuse, and more
• Evaluate the quality of secure coding practices and proposed remediation strategies
• Build and validate security-focused reasoning datasets that teach AI to assess application risk accurately
• Apply your practitioner instincts to distinguish genuine exploitability from theoretical noise

Who You Are

• 2+ years of hands-on experience in application, product, or software security
• Strong familiarity with the OWASP Top 10 and common vulnerabilities found in real production systems
• Able to reason about risk in context — not just flag issues, but explain severity and impact clearly
• Confident written communicator who can articulate structured security thinking
• Self-directed and comfortable working asynchronously on task-based assignments

Nice to Have

• Experience with penetration testing, code review, or bug bounty programs
• Background in secure SDLC, threat modeling, or developer security education
• Familiarity with AI systems or data annotation workflows

Why Join Us

• Work on frontier AI projects alongside top research labs
• Fully remote and flexible — you set your own schedule
• Freelance perks: autonomy, variety, and collaboration with a global expert community
• Make a lasting impact on how AI reasons about security — at scale
• Potential for ongoing work and contract extension