Remote Data Labeling Specialist at Workada
Workada
Enhance technology as a Remote Data Labeling Specialist at Workada. Your evaluations directly impact the accuracy and usefulness of advanced systems, helping shape future innovations. As a full-time Data Labeling Specialist, you'll assess outputs from AI models, including text, images, and video. Your keen eye for detail will enable you to identify errors and inconsistencies, and your clear writing will support well-reasoned justifications. This role is ideal for critical thinkers with experience in technical evaluations, graphic design, or creative assessments. Key Responsibilities:
- Evaluate AI model outputs against detailed criteria
- Identify quality issues and inconsistencies effectively
- Write clear justifications for evaluation decisions
- Follow detailed guidelines to ensure consistent quality
- Collaborate with team members to enhance data accuracy
- Exceptional reading and writing skills
- Background in UI/UX design or editorial work
- Strong judgment and attention to detail
- Ability to follow guidelines independently
- Experience in evaluating technical or creative work
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