Video Evaluator (AI Content)
Job Title: Video Evaluator (AI Content) Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities:
- Analyze and evaluate AI-generated video content for coherence, motion, visual realism, and narrative consistency.
- Perform rigorous quality assurance checks to identify issues and maintain the highest content standards.
- Review and categorize content, providing clear, constructive feedback to improve AI video generation models.
- Collaborate cross-functionally with product, QA, and content teams to align quality benchmarks and evaluation criteria.
- Compile detailed reports and insights using tools such as Google Sheets and Notion to document findings and recommendations.
- Stay current with the latest trends and capabilities of AI video platforms (e.g., Runway, Pika) to inform evaluation protocols.
- Interpret user feedback and data to enhance both content quality and user satisfaction.
Required Skills and Qualifications:
- 1–3 years’ experience in video evaluation, quality assurance, or content review, ideally in user-facing environments.
- Strong foundation in visual media analysis and an unwavering attention to detail.
- Proven expertise in assessing the quality of AI-generated or digitally produced videos.
- Exceptional written and verbal communication skills, with an ability to articulate insights clearly and professionally.
- Proficiency with documentation and collaboration tools like Google Sheets and Notion.
- Native English language proficiency required.
- Bachelor’s degree minimum in a related field.
Preferred Qualifications:
- Hands-on experience with AI video platforms such as Runway or Pika.
- Background in QA Analyst, Video Editor, or Content Reviewer roles within tech or media sectors.
- Demonstrated ability to interpret user feedback to drive continuous content improvement.
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