Welo Data

Technology

GenerativeAIAnalyst(Chinesezh-CN)

€36–54k ~AI est. Bulgaria CONTRACT Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Technology
Problems you'll solve

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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