Offensive Security Analyst (Structured / Non-Exploit)

Alignerr Corp.; Municipio de Rincón de los Sauces; Remote; ARS 125,297,000 - 229,711,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Task-based freelance work

Job summary

Alignerr is seeking offensive security professionals to analyze real-world attack paths and adversary behavior to shape how AI understands cybersecurity threats. The role focuses on structured adversarial reasoning and does not require an AI background.

You will operate remotely on a freelance, task-based basis, with 10–40 hours per week. Prior experience in pentesting, red teaming, or blue-team roles will be valuable in mapping multi-stage intrusion scenarios and communicating findings clearly.

Qualifications

• 2+ years of hands-on pentesting, red teaming, or blue-team work with strong offensive knowledge.
• Ability to map attacker decision-making across multi-stage intrusion scenarios.
• Strong written communicator capable of explaining technical attack paths clearly.

Responsibilities

• Analyze attack paths, kill chains, and adversary strategies across realistic environments.
• Identify weaknesses and defensive gaps in modeled systems.
• Review red-team scenarios and intrusion narratives for accuracy and completeness.
• Generate and validate adversarial reasoning data for AI training and benchmarking.
• Communicate attack chains, impact, and risk tradeoffs clearly in structured formats.
• Work independently on task-based assignments with flexible scheduling.

Skills

Hands-on pentesting

Red teaming

Blue-team offensive knowledge

Technical writing

Tools

MITRE ATT&CK

Cyber Kill Chain

OWASP

Job description

About The Role

What if your instinct for thinking like an attacker could directly shape how AI understands and reasons about cybersecurity threats? We're looking for offensive security professionals to analyze real-world attack paths, adversary behavior, and defensive gaps - helping build and evaluate AI systems that need to understand how modern threats actually work.

What if your instinct for thinking like an attacker could directly shape how AI understands and reasons about cybersecurity threats? We're looking for offensive security professionals to analyze real-world attack paths, adversary behavior, and defensive gaps - helping build and evaluate AI systems that need to understand how modern threats actually work.

This is not an exploit development role. It's about structured adversarial reasoning - mapping how attacks unfold, where defenses break down, and how risk propagates across complex environments. No AI background needed. Just deep, hands-on security knowledge and the ability to communicate it clearly.

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

What You’ll Do

• Analyze attack paths, kill chains, and adversary strategies across realistic, production-style environments
• Identify weaknesses, misconfigurations, and defensive gaps in modeled systems
• Review and evaluate red-team-style scenarios and intrusion narratives for accuracy and completeness
• Generate, label, and validate adversarial reasoning data used to train and benchmark AI systems
• Clearly articulate attack chains, potential impact, and risk tradeoffs in structured formats
• Work independently and asynchronously on task-based assignments - fully on your own schedule

Who You Are

• 2+ years of hands-on experience in pentesting, red teaming, or a blue-team role with strong offensive knowledge
• Deep understanding of how real attacks unfold in production environments - not just theory
• Able to map attacker decision-making across complex, multi-stage intrusion scenarios
• Strong written communicator - you can explain technical attack paths clearly and precisely
• Methodical, detail-oriented, and consistent in your analytical approach
• No prior AI or machine learning experience required

Nice to Have

• Familiarity with frameworks like MITRE ATT&CK, Cyber Kill Chain, or OWASP
• Experience with threat modeling, purple team exercises, or adversary simulation
• Background in cloud security, Active Directory attacks, or lateral movement techniques
• Prior work in security research, CTF competition, or technical security writing
• Exposure to AI tools or structured data annotation workflows

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
• Apply your offensive security expertise to a genuinely novel and high-impact problem space
• Potential for ongoing work and contract extension as new projects launch