Video Content Annotator for AI Evaluation

A detail-oriented and analytically consistent professional is needed to evaluate visual and creative content for a leading US-based AI company at the forefront of AI research. This role involves assessing both AI-generated and real-world media, including images and videos, to ensure quality, realism, composition, and adherence to defined evaluation standards. Your contributions will play a crucial role in enhancing advanced AI systems.

Key Responsibilities

• Evaluate visual and media content using structured guidelines and predefined rating frameworks.
• Provide clear, well-structured written justifications to support evaluation decisions.
• Ensure consistency, accuracy, and attention to detail across high-volume annotation tasks.
• Identify quality gaps related to realism, composition, motion, lighting, and overall production standards.

Qualifications

• 3+ years of professional work experience.
• Media/agency experience is mandatory.
• Hands-on experience working directly with designers, photographers, or videographers is required.
• Experience with AI image or video generation tools is a strong plus.
• Strong understanding of motion realism, lighting, camera movement, composition, and production quality.
• Excellent analytical, logical reasoning, and research skills, along with strong communication and collaboration abilities, with proficiency in English.
• Ability to incorporate feedback from LLM performance metrics into training data creation.
• Commitment to 40 hours per week; candidates who can join immediately are preferred.

Required Qualifications

• Bachelor’s degree or higher in Design, Visual Communication, or Fine Arts.
• Film, Media, Animation, or VFX.
• Photography or Cinematography.
• Architecture or Industrial Design.
• Creative Writing or equivalent professional experience in content creation, media production, or content review.

Benefits

• Opportunity to work on cutting-edge AI projects.
• Competitive compensation.
• Flexible working hours and a remote work environment.

Application Process

• Shortlisted candidates will complete an assessment.
• Successful candidates will be interviewed.
• Once the assessment is cleared, candidates can start.