Threat Intelligence Analyst for AI Training - Remote

Alignerr Corp.; Seattle (WA); Remote; USD 55,000 - 96,000; Part time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr is seeking a Threat Intelligence Analyst to help train frontier AI systems. You'll analyze threat reports, attacker behavior, and IOCs to inform AI training data and risk assessments.

You will operate remotely on a 10-40 hours/week basis, applying MITRE ATT&CK, OSINT techniques, and CTI workflows to ensure high-quality intelligence for AI models while flagging inaccuracies in outputs.

Qualifications

• 2+ years of experience in threat intelligence, SOC analysis, or security research.
• Familiar with MITRE ATT&CK, OSINT collection techniques, or CTI workflows.
• Able to distinguish authentic attacker behavior from fabricated or low-quality data.
• Strong analytical, research, and written communication skills.
• Comfortable working independently and asynchronously on task-based assignments.

Responsibilities

• Analyze and classify real-world threat reports, adversary campaigns, and attacker behavior patterns.
• Evaluate indicators of compromise, TTPs, and end-to-end attack narratives for accuracy and completeness.
• Generate, structure, and validate threat intelligence data used to train and assess AI systems.
• Review AI-generated cybersecurity outputs and flag inaccuracies, inconsistencies, or unrealistic content.
• Apply frameworks like MITRE ATT&CK to assess and annotate threat scenarios.

Skills

Threat intelligence

MITRE ATT&CK

OSINT

CTI workflows

Written communication

Independent work

Analytical skills

Job description

Alignerr is seeking a Threat Intelligence Analyst to help train frontier AI systems. You'll analyze threat reports, attacker behavior, and IOCs to inform AI training data and risk assessments.

You will operate remotely on a 10-40 hours/week basis, applying MITRE ATT&CK, OSINT techniques, and CTI workflows to ensure high-quality intelligence for AI models while flagging inaccuracies in outputs.