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 transparent justifications for evaluation decisions
Follow detailed guidelines to ensure consistent quality
Collaborate with team members to enhance data accuracy Requirements:
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 Be part of Workada's mission to improve technology through exact data evaluation.

📌 Remote Data Labeling Specialist At Workada Rouyn Noranda (Rouyn-Noranda)
🏢 Workada
📍 Rouyn-Noranda