Remote Threat Intelligence Analyst for AI Training

Alignerr Corp.; New York (NY); On-site; USD 55,000 - 124,000; Full time

Job summary

Alignerr is seeking a Threat Intelligence Analyst (AI Training) to help train and benchmark AI systems by analyzing threat reports, attacker behavior, and CTI workflows. The role focuses on distinguishing real attacker activity from synthetic data, with an emphasis on accuracy and clear written communication.

The contract is hourly, remote, and suitable for professionals comfortable working asynchronously on task-based assignments, 10–40 hours per week, with potential for ongoing engagement.

Qualifications

• 2+ years of hands-on threat intelligence, SOC operations, or security analysis experience.
• Familiar with MITRE ATT&CK, OSINT collection methodologies, or CTI workflows.
• Able to distinguish real attacker behavior from synthetic, noisy, or fabricated data.
• Strong analytical and written communication skills.
• Self-directed and comfortable working asynchronously on task-based assignments.

Responsibilities

• Analyze and classify threat reports, adversary campaigns, and attacker behavior across realistic scenarios.
• Evaluate indicators of compromise, TTPs, and end-to-end attack narratives for accuracy and consistency.
• Generate, structure, and validate threat intelligence data used to train and benchmark AI systems.
• Review AI-generated cybersecurity outputs and flag inaccuracies, gaps, or fabricated detail.
• Apply frameworks like MITRE ATT&CK to assess the quality and realism of AI reasoning about threats.

Skills

Threat intelligence

SOC operations

Security analysis

MITRE ATT&CK

OSINT

CTI workflows

Job description

Alignerr is seeking a Threat Intelligence Analyst (AI Training) to help train and benchmark AI systems by analyzing threat reports, attacker behavior, and CTI workflows. The role focuses on distinguishing real attacker activity from synthetic data, with an emphasis on accuracy and clear written communication.

The contract is hourly, remote, and suitable for professionals comfortable working asynchronously on task-based assignments, 10–40 hours per week, with potential for ongoing engagement.