Video Annotation Specialist

AuraOne; United States; On-site; USD 28,000 - 55,000; Full time

Job summary

AuraOne seeks a Video Annotation Specialist for remote evaluation of prompts and responses against its quality rubric. You will review paired outputs, label edge cases, and write structured feedback to retrain the modeling team.

This contractor role requires strong attention to detail, clear written reasoning, and experience with rubric-based annotation. Remote-US eligible; compensation is hourly after interview.

Qualifications

• Must have experience evaluating or annotating video annotation evaluation or related content.
• Clear written reasoning that names the issue and the rubric clause applied.
• Ability to apply multi-page rubrics consistently across large batches.
• Strong attention to detail and ability to flag prompt issues.

Responsibilities

• Evaluate video annotation evaluation model outputs against a rubric and assign severity tags.
• Compare paired responses and select the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Document recurring failure modes to guide rubric updates.
• Calibrate reviewer-quality scores against gold-standard examples weekly.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Video Annotation evaluation

Design

Job description

Video Annotation Specialist 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 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 video annotation evaluation or adjacent content for Video Annotation 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 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.