Welo Data
Technology
GenerativeAIAnalyst(Chinesezh-CN)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Generative AI Analyst (Chinese zh-CN) at Welo Data. Skills: Generative AI evaluation, Video annotation, Content quality review. Review text prompts. Review corresponding AI-generated video clips”
What You'll Achieve.
Maintain high accuracy; Support throughput targets; Support quality targets
Industry & Context.
Critical thinking; Judgment
What They're Looking For.
Must Have
Experience in video annotation, Experience in multimedia annotation, Experience in content quality review, Experience in data labeling, Experience in computer vision labeling, Experience in Generative AI evaluation, Attention to detail, Good reading comprehension, Written communication skills in English, Written communication skills in Chinese, Ability to follow detailed guidelines, Critical thinking, Basic understanding of robotics behavior, Comfortable working in structured annotation platforms
Nice to Have
PhD preferred
What You'll Do.
Review corresponding AI-generated video clips
Identify inconsistencies
Identify visual errors
Tag incorrect prompt text
Add visual errors as annotation instances
Add behavioral errors as annotation instances
Write brief descriptions for each error
Avoid duplicate annotations
Evaluate video content for actions
Evaluate video content for context
Evaluate video content for motion
Evaluate video content for scene consistency
Evaluate video content for object behavior
Evaluate video content for prompt alignment
Apply project guidelines consistently
Use critical thinking
Use judgment to handle ambiguous scenarios
Determine accurate ground truth
Identify recurring errors
Identify systematic errors
Document examples for review
Perform self-QA on completed work
Correct errors before submission
Participate in calibration sessions
Align interpretation of guidelines
Reduce annotator-to-annotator variance
Incorporate feedback from quality reviews
Support throughput targets
Support quality targets
Maintain accuracy at scale
How You'll Work.
Team & Collaboration
Quality reviews; Calibration sessions
Communication Scope
Written communication
Full Job Description
## Description Overview We are hiring full-time Generative AI Analysts 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. Project Details Job Title: Generative AI Analyst Hiring in: Remote - United States Hours: 4 months duration project. Part-Time (1st month) and Full-Time (remaining 3 months) Employment Type: Freelance/ Contractor Pay Rate: 15 USD/h Responsibilities 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 re
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