Security Operations Center Analyst — AI Training

AI Trainer Jobs; United States; Remote; USD 28,000 - 55,000; Part time

Job summary

AI Trainer Jobs is seeking an independent contractor for remote evaluation of SOC analyst AI training prompts and outputs. You will review frontier model results, apply the rubric, and generate structured feedback for retraining.

A strong writer with attention to detail is essential, as is the ability to work asynchronously across multiple batches. The role is remote from the United States, with hourly compensation to be confirmed after interview.

Qualifications

• Attention to detail in evaluating model outputs and labeling.
• Clear written reasoning naming issues and rubric clauses.
• Reliable asynchronous availability for the role (10+ hours/week).
• Experience with inter-rater calibration and rubric-based evaluation.
• Domain expertise in cybersecurity or SOC analysis is beneficial.

Responsibilities

• Evaluate SOC analyst AI training outputs against a versioned rubric and assign severity tags.
• Compare paired responses and select the stronger answer with a rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them for rubric updates.

Skills

Attention to detail

Clear written reasoning

Reliable async availability

Inter-rater calibration

Domain expertise in cybersecurity

Job description

About the role

Security Operations Center Analyst — AI Training is a remote evaluation track for reviewing security operations center analyst ai training 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 security operations center analyst ai training 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 security operations center analyst ai training evaluation model outputs against a versioned rubric and assign severity tags for Security Operations Center Analyst — AI Training 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.

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 security operations center analyst ai training evaluation or adjacent content for Security Operations Center Analyst — AI Training 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 security operations center analyst ai training 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
• Security Operations Center Analyst AI Training evaluation
• Cybersecurity
• AI evaluation
• Rubric writing
• Expert review

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.