AI / Emerging Tech Security Analyst
Alignerr · Boston, MA
- Hybrid
- Contract
- $60,000 / year
- Boston, MA
Job highlights
- Analyze AI and LLM security scenarios.
- Investigate various AI attack vectors.
- Classify vulnerabilities and recommend mitigations.
- Evaluate AI system behavior against best practices.
- Work independently on task-based assignments.
About the role
AI Security Analyst (AI Training)
About The Role
What if your security expertise could directly shape how the world's most advanced AI systems defend against attacks, misuse, and adversarial threats? We're looking for AI Security Analysts to probe frontier AI models, identify vulnerabilities, and help ensure these systems remain safe and reliable in the real world.
This is a fully remote, flexible contract role for security professionals with a sharp analytical mind and a genuine curiosity about how AI systems can be exploited — and protected. If you think like an attacker and care about getting it right, this role was built for you.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Analyze AI and LLM security scenarios to understand how models behave under adversarial or unexpected conditions
- Investigate prompt injection attacks, data leakage vectors, model abuse patterns, and system misuse cases
- Classify security vulnerabilities and recommend appropriate mitigations based on real-world impact and likelihood
- Evaluate AI system behavior against security best practices and help identify gaps before they become problems
- Work with realistic threat scenarios drawn from the frontier of modern AI deployment
- Complete task-based assignments independently on your own schedule
Who You Are
- Solid background in cybersecurity, application security, or related disciplines
- Familiar with modern threat modeling concepts and how they apply to AI and machine learning systems
- Naturally curious and analytical — you enjoy pulling systems apart to understand how they break
- Precise and methodical when evaluating complex systems and potential attack surfaces
- Strong written communicator who can clearly document findings and reasoning
- Comfortable working independently without hand-holding
Nice to Have
- Hands-on experience with LLMs, AI APIs, or machine learning pipelines
- Familiarity with adversarial ML techniques — prompt injection, jailbreaking, model inversion, or similar
- Background in red teaming, penetration testing, or vulnerability research
- Experience with AI safety, alignment, or responsible AI development
- Knowledge of emerging AI security frameworks or standards
Why Join Us
- Work directly on frontier AI systems alongside leading AI research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Contribute to a domain that sits at the cutting edge of both security and AI
- Potential for ongoing work and contract extension as new projects launch
Key skills/competency
- AI Security
- Emerging Technologies
- Security Analyst
- Vulnerability Analysis
- Threat Modeling
- Adversarial ML
- Prompt Injection
- LLM Security
- Application Security
- Cybersecurity
Skills & topics
- AI Security Analyst
- AI Security
- Cybersecurity
- Application Security
- Threat Modeling
- LLM Security
- Vulnerability Research
- Adversarial ML
- Remote Work
- Contract Role
How to get hired
- Tailor your resume: Highlight AI security, vulnerability research, and threat modeling experience.
- Showcase AI knowledge: Emphasize experience with LLMs, AI APIs, or ML pipelines in your application.
- Demonstrate analytical skills: Provide examples of how you identify and analyze complex system weaknesses.
- Highlight remote work capability: Stress your ability to work independently and manage your schedule effectively.
Technical preparation
Study AI/ML threat modeling concepts.,Practice prompt injection and jailbreaking.,Familiarize with AI safety frameworks.,Review application security best practices.
Behavioral questions
Describe a complex system you analyzed.,How do you approach independent work?,Explain a security vulnerability you found.,How do you stay updated on AI threats?
Frequently asked questions
- What specific AI security skills are most important for an AI Security Analyst at Alignerr?
- For an AI Security Analyst at Alignerr, the most critical skills include a solid background in cybersecurity and application security, familiarity with AI and machine learning threat modeling, and the ability to analyze how AI models can be exploited. Experience with LLMs, adversarial ML techniques like prompt injection, and vulnerability research is highly valued.
- Is this AI Security Analyst role a full-time or part-time position at Alignerr?
- This AI Security Analyst role at Alignerr is an hourly contract position with a commitment of 10-40 hours per week. It offers flexibility, allowing you to work the hours that best suit your schedule.
- What kind of AI systems will I be analyzing as an AI Security Analyst for Alignerr?
- As an AI Security Analyst for Alignerr, you will be analyzing frontier AI models and Large Language Models (LLMs). The focus is on understanding their behavior under adversarial conditions and identifying potential misuse or security vulnerabilities.
- Does Alignerr offer opportunities for contract extension for AI Security Analysts?
- Yes, Alignerr mentions potential for ongoing work and contract extension for AI Security Analysts as new projects launch. This suggests a possibility for sustained engagement based on performance and project needs.
- How does Alignerr ensure AI systems are safe and reliable in this AI Security Analyst role?
- Alignerr ensures AI systems are safe and reliable by hiring AI Security Analysts to probe AI models, identify vulnerabilities, analyze adversarial scenarios, and recommend mitigations. The role involves evaluating system behavior against security best practices to proactively address gaps.
- What are the key responsibilities of an AI Security Analyst at Alignerr?
- Key responsibilities include analyzing AI/LLM security scenarios, investigating prompt injection and model abuse, classifying vulnerabilities, recommending mitigations, and evaluating AI system behavior against security best practices. You will complete task-based assignments independently.