Cybersecurity / IT GRC Evaluator

AI Trainer Jobs; United States; Remote; USD 110,000 - 165,000; Full time

Job summary

AI Trainer Jobs is seeking a Cybersecurity / IT GRC Evaluator to join a remote evaluation program. You will review cybersecurity / it grc prompts and model outputs, compare paired responses, and provide structured feedback that helps retrain the system.

This role focuses on labeling edge cases, assigning severity, and documenting rationales for the modeling team. This contractor position offers flexible scheduling, eligibility for US-based contractors, and compensation at $80–$120 per hour.

Qualifications

• Experience evaluating cybersecurity / IT GRC prompts and model outputs.
• Ability to apply a multi-page rubric consistently.
• Clear written reasoning naming issues and rubric clauses.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate model outputs against a rubric and assign severity tags.
• Compare paired responses and select the stronger answer with rationale.
• Label hallucinations, instruction-following failures, and unsafe content.
• Capture ambiguous prompts and route to program team for rubric updates.
• Maintain reviewer-quality scores by calibration against gold-standard examples.

Skills

Inter-rater calibration

Attention to detail

Written reasoning

Cybersecurity / IT GRC knowledge

Remote collaboration

Independent contractor experience

Job description

Cybersecurity / IT GRC Evaluator is a remote evaluation track for reviewing cybersecurity / it grc 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.

Category: Frontier Model Evaluation · Pay: $80–$120 / hr · Location: Remote — US-eligible · Contractor

Cybersecurity / IT GRC Evaluator is a remote evaluation track for reviewing cybersecurity / it grc evaluation prompts and responses against AuraOne's quality rubric.

Role details

About the role

Cybersecurity / IT GRC Evaluator is a remote evaluation track for reviewing cybersecurity / it grc 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 / it grc 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 / it grc evaluation model outputs against a versioned rubric and assign severity tags for Cybersecurity / IT GRC 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.Track Evaluation & annotation Work model Remote · Independent specialist contractor Compensation $80–$120 / hr Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on cybersecurity / it grc evaluation or adjacent content for Cybersecurity / IT GRC 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 / it grc 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

$80–$120 / hr
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 / IT GRC evaluation

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

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.