Join our client's team as an Art Professional focused on Data Annotation, playing a crucial role in the development of AI-driven creative tools. We are looking for a detail-oriented individual with an art background and experience in data annotation or AI training. If you possess a sharp eye for artistic details and a passion for advancing technology, this role is perfect for you.

The Role

You will analyze and annotate a variety of visual content to ensure high-quality data for AI models, utilizing your artistic skills to interpret and label images, videos, and other media. Collaboration with team members to enhance annotation processes and maintain accuracy across large datasets is essential. You will also provide insights on artistic elements to improve data labeling precision and communicate effectively with the team.

Responsibilities

• Analyze and annotate diverse visual content for AI models.
• Utilize artistic expertise to interpret and label images, videos, and other media.
• Collaborate with team members to refine annotation processes and standards.
• Ensure accuracy and consistency across large volumes of annotated data.
• Offer insights on composition, color, and style to enhance data labeling accuracy.
• Communicate feedback and suggestions effectively in written and verbal formats.
• Stay updated on trends in art and data annotation best practices.

Requirements

• Bachelor’s degree or higher in an art-related discipline (e.g., Graphic Design, Fine Art, Painting, Video Editing, Photography).
• Minimum 6 months of professional experience in data annotation or AI model training.
• Demonstrated expertise in one or more visual art forms.
• Excellent attention to detail and visual analysis skills.
• Proven ability to work independently and manage time efficiently in a remote setting.
• Strong written and verbal communication skills.
• Collaborative mindset with a drive to work seamlessly with the team.

Nice to Have

• Experience with annotation tools or AI platforms for visual media.
• Familiarity with machine learning workflows or digital content management systems.
• Portfolio showcasing past annotation or art-related projects.

We invite you to apply if you're ready to contribute to innovative technology in the art domain.