Video Data Annotation Specialist - AI Training Data

AuraOne; United States; Remote; USD 21,000 - 34,000; Full time

Job summary

AuraOne is seeking a Video Data Annotation Specialist - AI Training Data to remotely evaluate video annotation prompts and responses against AuraOne's rubric. This contractor role involves reviewing outputs, labeling edge cases, and providing structured feedback to retrain models.

You will compare paired responses, tag issues like hallucinations and unsafe content, and calibrate scores against gold standards, with about 10 hours per week.

Qualifications

• Experience evaluating video data annotation; prior role in annotation or evaluation.
• Ability to apply multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and rubric clause.
• Strong attention to detail and ability to flag problematic prompts.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate video data annotation evaluation model outputs against a rubric and assign severity tags.
• Compare paired responses and select the stronger answer with written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them to the program team for rubric updates.
• Maintain reviewer-quality scores by calibrating against gold-standard examples weekly.
• Document recurring failure modes for model improvement.

Skills

Video data annotation

Rubric-based evaluation

Attention to detail

Written reasoning

Async availability

Job description

Category: Video, Vision & Spatial AI · Pay: Hourly rate confirmed after the interview process · Location: Remote — US-eligible · Contractor

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

Responsibilities

• Evaluate video data annotation evaluation model outputs against a versioned rubric and assign severity tags for Video Data Annotation Specialist - AI Training Data 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 data annotation evaluation or adjacent content for Video Data Annotation Specialist - AI Training Data 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 data 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 Data 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.