AI-Driven Product Designer & UX Specialist
The Ai Training Company
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Job summary
The Ai Training Company seeks experienced product designers, UX/UI designers, design system specialists, rapid prototypers, and AI-native product builders to create realistic evaluation tasks for advanced AI systems. You will analyze task execution frame by frame, apply structured labels, and mark key events.
Collaboration with remote project trainers and other contributors is essential to meet timelines while maintaining high quality.
Qualifications
- Professional or academic background in UX/UI, product design, video editing, photography, multimedia, engineering, data annotation, or a closely related field
- Strong visual attention to detail
- Ability to analyze video content carefully
- Comfortable applying detailed annotation and grading guidelines
- Ability to work consistently across repetitive review tasks
Responsibilities
- Analyze task execution frame by frame when necessary
- Identify important actions, events, behaviors, and outcomes
- Apply structured labels, tags, and grades based on project guidelines
- Mark timestamps or video segments corresponding to key events
- Determine whether tasks were completed correctly
- Document observations and evaluation rationales clearly
- Apply annotation guidelines consistently across large volumes of videos
- Participate in reviewer calibration and quality discussions
- Collaborate asynchronously with project trainers and other contributors
- Flag unclear or ambiguous cases for additional review
- Provide feedback on labeling guidelines and annotation workflows
- Organize and submit completed annotations within project timelines
- Maintain high standards for precision, consistency, and quality
Skills
Tools
Job description
The Ai Training Company seeks experienced product designers, UX/UI designers, design system specialists, rapid prototypers, and AI-native product builders to create realistic evaluation tasks for advanced AI systems. You will analyze task execution frame by frame, apply structured labels, and mark key events.
Collaboration with remote project trainers and other contributors is essential to meet timelines while maintaining high quality.
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