Generative AI Analyst - California

We are hiring full-time Generative AI Analysts in the United States to support evaluation and quality review of AI-generated videos. In this role, you will review text prompts, watch corresponding video outputs, and identify mismatches, inconsistencies, and visual errors.

This role is best suited for candidates with strong attention to detail, excellent visual comprehension, and the ability to follow structured guidelines consistently. Candidates should be comfortable reviewing video content, comparing visual outputs against written prompts, and writing clear, concise annotations. A solid understanding of US driving and road rules is especially important, as some tasks may involve roadway scenarios, vehicle behavior, and basic robotics behavior in real-world environments.

Review text prompts and corresponding AI-generated video clips to identify mismatches, inconsistencies, and visual errors.

Tag specific parts of the prompt that do not match the video by identifying only the incorrect prompt text, rather than the full sentence unless needed.

Add visual or behavioral errors as annotation instances in annotation platform.

Write brief, clear descriptions for each error instance.

Avoid duplicate annotations by ensuring errors already captured as prompt mismatches are not added again as separate instances.

Evaluate video content for actions, context, motion, scene consistency, object behavior, and prompt alignment.

Apply project guidelines consistently across repetitive, detail-oriented tasks.

Use critical thinking and judgment to handle ambiguous scenarios and determine the most accurate ground truth.

Identify recurring or systematic errors across tasks and document examples for review.

Perform self-QA on completed work and correct errors before submission.

Participate in calibration sessions to align interpretation of guidelines and reduce annotator-to-annotator variance.

Incorporate feedback from quality reviews into subsequent work.

Support throughput and quality targets while maintaining accuracy at scale.

Prior experience evaluating AI-generated video, synthetic media, autonomous driving data, robotics scenarios, or traffic-related visual content.

Familiarity with US traffic rules, road signage, lane behavior, vehicle interactions, pedestrian behavior, and common driving scenarios.

Experience with QA, audit, or second-pass review workflows, including calibration, sampling, defect tracking, or error taxonomy development.

Ability to identify recurring model failure patterns across tasks or batches.