Visual Content Evaluator

AuraOne Human Data

United States

Remote

USD 28,000 - 55,000

Part time

14 days+

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Benefits offered by this job

Linguistics background
Inter-rater metrics experience
Domain expertise

Job summary

AuraOne, Inc. is seeking a Visual Content Evaluator for remote work to review model outputs against our quality rubric. You will compare paired responses, label issues, and provide structured feedback to support retraining.

The role emphasizes clear reasoning, attention to detail, and consistency across long rubric-driven batches, with eligibility to work from the US and a commitment of at least 10 hours per week as an independent contractor.

Qualifications

  • Prior evaluation, annotation, or human-rater experience on visual content evaluation.
  • 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.
  • Comfort applying multi-page rubrics consistently across long batches.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Evaluate visual content evaluation model outputs against a versioned rubric and assign severity tags for Visual Content 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.
  • Document recurring failure modes so the modeling team can target them in the next training run.

Skills

Model output evaluation
Rubric-based annotation
Severity tagging
Inter-rater calibration
Visual Content evaluation
Design
AI model evaluation

Job description

Visual Content Evaluator is a remote evaluation track for reviewing visual content 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.

Why this role matters

AI data reviewers help turn visual content evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities
  • Evaluate visual content evaluation model outputs against a versioned rubric and assign severity tags for Visual Content 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.
  • 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 visual content evaluation or adjacent content for Visual Content 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.
Example tasks
  • Compare two visual content 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.
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
  • Visual Content evaluation
  • Design
  • AI model evaluation
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.

Prior evaluation, annotation, or human-rater experience on visual content evaluation or adjacent content for Visual Content 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.

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