AI Data Generalist — Egocentric Video Review

AI Trainer Jobs; United States; Remote; USD 28,000 - 34,000; Full time

Job summary

AuraOne is seeking an AI Data Generalist — Egocentric Video Review for remote evaluation against our quality rubric. Reviewers assess egocentric video prompts and responses, label edge cases, and provide structured feedback for retraining.

Responsibilities include rubric-based evaluation, choosing stronger responses with rationales, tagging problematic outputs, and flagging prompts for rubric updates. Compensation is $20–$25 per hour for US-eligible contractors.

Qualifications

• Experience with AI data evaluation or related content
• Ability to apply multi-page rubrics consistently across long batches
• Clear written reasoning that names the issue and the rubric clause applied

Responsibilities

• Evaluate AI data generalist egocentric video review outputs against a versioned 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.
• Capture ambiguous prompts and route them back to the program team for rubric updates.

Skills

Evaluation experience

Annotation

Inter-rater calibration

Attention to detail

Job description

AI Data Generalist — Egocentric Video Review is a remote evaluation track for reviewing ai data generalist egocentric video review 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.

Category: Video, Vision & Spatial AI · Pay: $20–$25 / hr · Location: Remote — US-eligible · Contractor

AI Data Generalist — Egocentric Video Review is a remote evaluation track for reviewing ai data generalist egocentric video review evaluation prompts and responses against AuraOne's quality rubric.

About the role

AI Data Generalist — Egocentric Video Review is a remote evaluation track for reviewing ai data generalist egocentric video review 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.
AI data reviewers help turn ai data generalist egocentric video review evaluation outputs into auditable labels, rationales, and regression cases for AuraOne Human Data.
Review image and video output. Judge spatial reasoning and scene understanding.

Responsibilities

• Evaluate ai data generalist egocentric video review evaluation model outputs against a versioned rubric and assign severity tags for AI Data Generalist — Egocentric Video Review 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.

Role details

Track Evaluation & annotation Work model Remote · Independent specialist contractor Compensation $20–$25 / hr Eligible from US

What you should bring

• Prior evaluation, annotation, or human-rater experience on ai data generalist egocentric video review evaluation or adjacent content for AI Data Generalist — Egocentric Video Review 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 ai data generalist egocentric video review 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.

Useful experience

• 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.

Compensation and schedule

$20–$25 / hr
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Model output evaluation
• Rubric-based annotation
• Severity tagging
• Inter-rater calibration
• AI Data Generalist Egocentric Video Review evaluation