Welo Global

Welo Global specializes in providing enterprise localization, AI training data, and multilingual content solutions, leveraging a portfolio of specialized global brands to meet diverse customer needs in the AI and language services industry.

Professional Services

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Founded 1997

444 open positions

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Multimedia Generative AI Analyst - California

8 hours, 51 minutes ago

United States

Full-time

Junior

AI (Artificial Intelligence)

Data Science and Analytics

Generative AI Machine Learning NLP

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Welo Global

Professional Services

Founded 1997

View All Jobs 444

Description

Review text prompts and corresponding AI-generated video clips to identify mismatches, inconsistencies, and visual errors.
Tag the specific prompt text that does not match the video and avoid flagging the full sentence unless necessary.
Add visual and behavioral error instances in the annotation platform with brief, clear descriptions.
Evaluate video content for actions, context, motion, scene consistency, object behavior, and prompt alignment.
Apply project guidelines consistently across repetitive, detail-oriented review tasks.
Use critical thinking and sound judgment to resolve 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 guideline interpretation and reduce annotator variance.
Incorporate quality review feedback and support throughput and accuracy targets at scale.

Requirements

Experience in video annotation, multimedia annotation, content quality review, data labeling, computer vision labeling, Generative AI evaluation, or a closely related field.
Strong attention to detail and ability to identify subtle errors, mismatches, and inconsistencies between prompts and videos.
Solid understanding of US driving rules, road behavior, traffic scenarios, and roadway conventions.
Good reading comprehension and ability to accurately compare written prompts against visual outputs.
Strong written communication skills in English with the ability to describe errors clearly and concisely.
Ability to follow detailed guidelines consistently and maintain high accuracy across repetitive tasks.
Critical thinking and sound judgment when reviewing ambiguous or complex scenarios.
Basic understanding of robotics behavior in real-world environments.
Comfortable working in structured annotation platforms or similar tools.
Ability to maintain focus and quality while reviewing multimedia content for extended periods.
Prior experience evaluating AI-generated video, synthetic media, autonomous driving data, robotics scenarios, or traffic-related visual content is preferred.
Familiarity with US traffic rules, road signage, lane behavior, vehicle interactions, pedestrian behavior, and common driving scenarios is preferred.
Experience with QA, audit, or second-pass review workflows, including calibration, sampling, defect tracking, or error taxonomy development is preferred.
Ability to identify recurring model failure patterns across tasks or batches is preferred.
W2 full-time employee status with 40 hours per week.
Ability to work remotely, with the option to work onsite in the Santa Clara, CA area.
Ability to complete live video identity verification and provide ID photos within the first 3 days of employment for I-9 compliance.

Benefits

$38/hour pay rate.
Full-time W2 employment.
Remote work with optional onsite access in the Santa Clara, CA area.
Opportunity to work on AI video evaluation and training data quality work.
Potential to join a global company serving multilingual and AI training data clients.
Supportive review and calibration processes that include feedback and quality improvement.

Interested in this position?

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