Video Annotation

AuraOne Human Data

United States

Remote

USD 34,000 - 48,000

Full time

14 days+

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Job summary

AuraOne, Inc. is seeking a remote Video Annotation Reviewer to help evaluate prompts and responses against a quality rubric. You will compare paired outputs, label edge cases, and provide structured feedback to improve retraining data.

Responsibilities include tagging severities, identifying hallucinations or policy violations, and documenting recurring failure modes for the modeling team. This contractor role is remote and US-eligible.

Qualifications

  • Prior evaluation, annotation, or human-rater experience on video annotation evaluation or adjacent content for Video Annotation 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.

Responsibilities

  • Evaluate video annotation evaluation model outputs against a versioned rubric and assign severity tags for Video Annotation 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
Video Annotation evaluation
Design

Job description

Video Annotation is a remote evaluation track for reviewing video annotation 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 video annotation evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.

Responsibilities
  • Evaluate video annotation evaluation model outputs against a versioned rubric and assign severity tags for Video Annotation 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 video annotation evaluation or adjacent content for Video Annotation 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 video annotation 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
  • Video Annotation evaluation
  • Design
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.

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