AI Red Team Tester
Alignerr · Bengaluru, Karnataka, India
- Hybrid
- Contract
- $50,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Test AI systems for security weaknesses.
- Design adversarial prompts and edge cases.
- Evaluate AI outputs for bias and violations.
- Document vulnerabilities and report findings.
- Improve AI safety and responsible development.
About the role
About The Role
If you've ever looked at a system and immediately started thinking about how to break it — this role was made for you. We're looking for security-minded professionals to stress-test AI systems, expose their weaknesses, and help build the next generation of safe, reliable AI.
This is a fully remote, flexible contract role where your findings directly shape how AI behaves in the real world.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design and execute red-teaming exercises to uncover security weaknesses in AI systems
- Craft adversarial prompts and edge-case scenarios to probe model guardrails and safety filters
- Evaluate AI outputs for unsafe behavior, bias, and policy violations
- Document vulnerabilities, exploits, and unexpected behaviors in clear, structured reports
- Collaborate with engineering teams to recommend practical mitigations and improvements
- Stay current on emerging AI security threats, jailbreak techniques, and adversarial research
- Help define and refine security evaluation rubrics and testing protocols
Who You Are
- Strong understanding of cybersecurity concepts — threat modeling, penetration testing, or ethical hacking
- Hands-on experience with AI/ML systems, large language models, or prompt engineering
- Creative and analytical — you enjoy finding the edge cases others miss
- Excellent written communication and documentation skills
- Comfortable working independently in an asynchronous, task-based environment
- Familiarity with open-source AI platforms or LLM ecosystems is a plus
- Background in infosec, AI safety research, or adversarial ML is a bonus — but not required
Why Join Us
- Work at the cutting edge of AI security alongside top research labs
- See your work directly improve the safety of AI products used by millions of people
- Full autonomy and a flexible schedule — work when and how you work best
- Build deep, marketable expertise in one of the fastest-growing fields in tech
- Ongoing contract potential with opportunities to expand scope and responsibility
- Be part of a global community of experts shaping the future of responsible AI
Key skills/competency
- AI Red Teaming
- Cybersecurity
- Penetration Testing
- Ethical Hacking
- AI/ML Systems
- Large Language Models
- Prompt Engineering
- Adversarial ML
- AI Safety Research
- Vulnerability Documentation
Skills & topics
- AI Red Team Tester
- AI Security
- Cybersecurity
- Penetration Testing
- Ethical Hacking
- AI/ML
- Large Language Models
- Prompt Engineering
- Adversarial ML
- AI Safety
How to get hired
- Tailor your resume: Highlight cybersecurity and AI/ML experience, focusing on red teaming and prompt engineering skills.
- Showcase your creativity: Demonstrate your ability to find edge cases and think like an attacker.
- Emphasize remote work skills: Detail your experience with independent, asynchronous work and strong documentation.
- Prepare for technical questions: Be ready to discuss cybersecurity concepts and AI system vulnerabilities.
- Network with the team: Connect with Alignerr employees on LinkedIn to learn more about their culture and the AI Red Team Tester role.
Technical preparation
Practice crafting adversarial prompts for LLMs.,Review common AI vulnerabilities and exploits.,Familiarize yourself with threat modeling techniques.,Set up a local LLM environment if possible.
Behavioral questions
Describe a time you broke a complex system.,How do you approach independent, asynchronous work?,Explain how you'd document a novel exploit.,How do you stay updated on emerging threats?
Frequently asked questions
- What are the typical hours for an AI Red Team Tester at Alignerr?
- The AI Red Team Tester role at Alignerr offers flexible commitment of 10-40 hours per week. This allows you to set your own schedule and work asynchronously, fitting the role around your needs.
- What cybersecurity experience is most valuable for an AI Red Team Tester?
- For the AI Red Team Tester position, strong understanding of cybersecurity concepts like threat modeling, penetration testing, and ethical hacking is highly valued. Hands-on experience with AI/ML systems, LLMs, or prompt engineering is also crucial.
- Is experience with specific AI platforms required for the AI Red Team Tester role?
- While familiarity with open-source AI platforms or LLM ecosystems is a plus for the AI Red Team Tester role, it's not strictly required. A strong foundation in cybersecurity and AI/ML principles is more critical.
- How does an AI Red Team Tester contribute to AI safety at Alignerr?
- AI Red Team Testers at Alignerr directly shape AI behavior by uncovering security weaknesses, evaluating outputs for bias, and documenting vulnerabilities. Their findings lead to practical mitigations, improving the safety and reliability of AI products.
- What is the expected outcome of red-teaming exercises for this AI Red Team Tester role?
- The primary outcome of red-teaming exercises for an AI Red Team Tester is the identification and documentation of security weaknesses, unsafe behaviors, and policy violations within AI systems. This information is used to enhance AI safety and robustness.
- Can I work as an AI Red Team Tester if I have a background in AI safety research?
- Yes, a background in AI safety research or adversarial ML is considered a bonus for the AI Red Team Tester role at Alignerr. It can provide a strong foundation for understanding and testing AI systems effectively.
- What kind of documentation is expected from an AI Red Team Tester?
- AI Red Team Testers are expected to provide clear, structured reports documenting vulnerabilities, exploits, and unexpected behaviors discovered during red-teaming exercises. This documentation is key for informing engineering improvements.