Document/deck production QA Evaluator

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

Job summary

AI Trainer Jobs is seeking a remote Document/Deck production QA Evaluator to review document annotation prompts and responses against AuraOne's quality rubric. You will compare outputs, label edge cases, and provide structured feedback for retraining the modeling team.

This independent contractor role offers $80–$120 per hour, eligibility from the US, and flexible weekly hours, with tasks defined by program pace and demand.

Qualifications

• Experience evaluating document annotation or related content for QA Evaluator work.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning naming issues and rubric clauses.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate document annotation model outputs against rubric and assign severity tags.
• Compare paired responses and select the stronger answer with 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 weekly.

Skills

Document annotation experience

Attention to detail

Clear written reasoning

Async availability

Job description

About the role

Document/deck production QA Evaluator is a remote evaluation track for reviewing document annotation 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 document annotation 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 document annotation model outputs against a versioned rubric and assign severity tags for Document/deck production QA 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 document annotation or adjacent content for Document/deck production QA 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 document annotation 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
• Document annotation