Threat Intel - AI / LLM Trainer - Make Your Own Hours
Remotasks Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Remotasks. Remote, United States · no salary stated · we estimate $132,450–$205,151 across the United States.
Remotasks has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Judge AI-generated answers for cyber threat intelligence work, checking whether they are accurate, relevant and useful
- Score responses with human feedback and use your assessments to steer future AI improvement
- Work with cyber specialists and data scientists to adjust models using incident and threat intelligence examples
- Help choose training examples and feedback methods, then share where the AI handles threat detection and response poorly
What you bring
- Multiple years in incident analysis and response, threat intelligence and risk assessment, or vulnerability remediation
- You understand threat actor tactics and can identify ways to detect and defend against them
Who this fits
This task-based contract lets you set your hours, with a minimum commitment of five hours per week. It suits someone with hands-on cybersecurity experience who can assess AI responses against real threat and incident scenarios.
From the employer
Job Title: AI Response Evaluator for Cyber Security Threat Intelligence
Location: Remote
Job Type: Task-Based Contract (Make your own hours: 5 hours per week minimum)
Overview:
We are seeking a highly skilled and motivated individual to join our team as an AI Response Evaluator with a focus on Cyber Security Threat Intelligence. This position is at the forefront of integrating Artificial Intelligence with Cyber Security to enhance threat intelligence and incident response capabilities. The successful candidate will be involved in evaluating AI-generated prompts using reinforcement learning with human feedback to grade and improve AI quality. This role is an exceptional opportunity to work at the cutting edge nexus of AI and Cyber Security, contributing to the development of smarter, more efficient systems capable of defending against the ever-evolving cyber threat landscape.
Responsibilities:
- Evaluate AI-generated prompt responses for accuracy, relevance, and effectiveness in the context of Cyber Security Threat Intelligence.
- Use reinforcement learning with human feedback to grade AI prompt responses and guide the AI's learning process for improved performance.
- Collaborate with cybersecurity professionals and data scientists to refine AI models based on real-world cyber threat intelligence and incident data.
- Participate in the continuous improvement of AI training processes, including the selection of training data and feedback mechanisms.
- Stay abreast of the latest developments in cyber security threats, tactics, techniques, and procedures (TTPs) to ensure the AI's outputs are relevant and up-to-date.
- Provide insights and feedback on the AI's performance and potential areas for enhancement in detecting and responding to cyber threats.
Preferred Certifications:
- SANS GCIH (GIAC Certified Incident Handler)
- SANS GCTI (GIAC Cyber Threat Intelligence)
- Other relevant certifications in information security incident handling, vulnerability management, and threat intelligence are highly desirable (e.g., CISSP, CEH, OSCP).
Required Experience:
Candidates should have significant (multiple years) of experience in at least one of the following areas:
- Analyzing, triaging, and responding to cyber security incidents and investigations, particularly in response to recent vulnerabilities. This includes knowledge of threat actor group tactics, techniques, and procedures (TTPs) and how to detect and defend against them.
- Assessing Cyber Threat Intelligence and determining applicable risk for an organization via threat modeling. This involves understanding threat actor group TTPs and how to detect and defend against them.
- Identifying, managing, and remediating vulnerabilities, especially in response to well-known vulnerabilities exploited by threat actor groups.
*Base pay is determined by multiple factors, including the area of expertise, years of experience, and skillset needed for the project. Pay rates vary during the project lifecycle. For example, rates for onboarding are lower.
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