Cybersecurity AI Evaluator

AI Trainer Jobs; United States; Remote; USD 34,000 - 55,000; Part time

Job summary

AI Trainer Jobs seeks a Cybersecurity AI Evaluator to work remotely as an independent contractor. You will review cybersecurity AI evaluation prompts and responses, compare outputs, label edge cases, and generate structured feedback for retraining the modeling team.

Responsibilities include tagging content with rubric-based categories, auditing prompts, and calibrating reviewer scores weekly. Strong written reasoning and reliable async availability (≈10 hours/week) are valued; compensation is

Qualifications

• Experience evaluating cybersecurity AI prompts or related content.
• Excellent written reasoning and ability to name issues and rubric clauses.
• Strong attention to detail and ability to flag prompt problems.

Responsibilities

• Evaluate cybersecurity AI outputs against rubric and assign severity tags.
• Compare paired responses and justify the stronger answer with rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route to rubric updates.
• Calibrate reviewer-quality scores against gold-standard examples weekly.

Skills

Cybersecurity evaluation

Attention to detail

Written reasoning

Async availability

Experience in evaluation/annotation

Tools

Inter-rater calibration tools

Job description

About the role

Cybersecurity AI Evaluator is a remote evaluation track for reviewing cybersecurity ai evaluation prompts and responses against AuraOne's quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain.
AI data reviewers help turn cybersecurity ai evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.

Responsibilities

• Evaluate cybersecurity ai evaluation model outputs against a versioned rubric and assign severity tags for Cybersecurity AI Evaluator assignments.
• Compare paired responses and pick the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them back to the program team for rubric updates.
• Maintain reviewer-quality scores by calibrating against gold-standard examples each week.

Role details

Track Evaluation & annotation Work model Remote · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on cybersecurity ai evaluation or adjacent content for Cybersecurity AI Evaluator work.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Strong attention to detail and the ability to flag when a prompt itself is the problem.
• Reliable async availability for at least 10 hours per week.

Role signals

Example tasks

• Compare two cybersecurity ai evaluation model responses to the same prompt and pick the stronger one with rationale.
• Tag an unsafe response with the correct policy category and severity.
• Audit a 50-row batch for rubric consistency and report drift to the program lead.
• Propose a rubric clarification after spotting a recurring failure mode.

Useful experience

• Background in linguistics, content moderation, or trust & safety review.
• Experience with inter-rater agreement metrics and calibration cycles.
• Domain expertise that lets you spot subject-matter errors automated checks miss.

Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Cybersecurity AI evaluation
• Cybersecurity
• AI evaluation
• Rubric writing
• Expert review

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

• 01 Confirm profile and eligibility details.
• 02 Attach this role deliberately.
• 03 Receive a human review decision or follow-up.
  Placement timing depends on program demand and reviewer confirmation.