Remote Visual Curator & Art Direction Expert

YO AI Labs; Illinois; Remote; USD 55,000 - 110,000; Full time

Job summary

YO AI Labs seeks a remote Visual Creative Expert to curate and evaluate high-quality visual content for AI training projects. You will assess artistic quality, composition, originality, and visual impact, drawing on photography, art direction, graphic design, and illustration expertise.

No prior AI experience is required; your creative judgment and eye for detail will drive selection, annotations, and feedback across diverse visual datasets.

Qualifications

• Proven ability to curate and evaluate high-quality visual content for datasets.
• Strong eye for artistic quality, composition, originality, and visual impact.
• Demonstrated experience in photography, art direction, design, or visual curation.

Responsibilities

• Review and curate aesthetic visual content based on defined quality standards.
• Evaluate composition, lighting, color, styling, originality, and technical execution.
• Select images that demonstrate strong artistic and creative value.
• Provide clear written reasoning, ratings, annotations, and constructive feedback.
• Collaborate with visual specialists and project trainers to maintain consistent evaluation standards.
• Assess diverse visual genres, styles, and formats.
• Adapt to evolving project guidelines and requirements.
• Contribute to diverse, high-quality datasets for AI training.

Skills

Visual Curation

Artistic Judgment

Image Evaluation

Photography

Art Direction

Graphic Design

Illustration

Visual Trend Awareness

Written Communication

Collaboration

Attention to Detail

Job description

YO AI Labs seeks a remote Visual Creative Expert to curate and evaluate high-quality visual content for AI training projects. You will assess artistic quality, composition, originality, and visual impact, drawing on photography, art direction, graphic design, and illustration expertise.

No prior AI experience is required; your creative judgment and eye for detail will drive selection, annotations, and feedback across diverse visual datasets.