Document Reviewer (Specialist)

AuraOne Human Data; United States; Remote; USD 28,000 - 48,000; Full time

Benefits offered by this job

Remote work (US eligibility)

Contractor status

Job summary

AuraOne, Inc. is seeking a remote Document Reviewer (Specialist) to evaluate document annotation model outputs, label edge cases, and provide structured feedback for retraining.

This independent contractor role requires applying a versioned rubric across long batches and maintaining calibration with gold-standard examples. Responsibilities include comparing paired responses, tagging inaccuracies, and documenting recurring failure modes for model improvements.

Qualifications

• Experience evaluating document annotation or similar content.
• Ability to apply multi-page rubrics consistently across large batches.
• Clear written reasoning that identifies issues and cites rubric clauses.
• Strong attention to detail and ability to flag prompt problems.

Responsibilities

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

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Document annotation

Job description

Document Reviewer (Specialist) 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.

Why this role matters

AI data reviewers help turn document annotation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities

• Evaluate document annotation model outputs against a versioned rubric and assign severity tags for Document Reviewer (Specialist) 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.
• Document recurring failure modes so the modeling team can target them in the next training run.

Qualifications

• Prior evaluation, annotation, or human-rater experience on document annotation or adjacent content for Document Reviewer (Specialist) 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.

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.

Nice to have

• 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.

Skills

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• Document annotation

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.