Remote Editorial Expert - Data Labelling

workada; Medicine Hat; Remote; CAD 40,000 - 52,000; Full time

Benefits offered by this job

Guidelines & training

Performance feedback

Growth opportunities

Mission-driven team

Job summary

Workada is seeking a remote, full-time quality evaluator to help improve AI outputs. You will review text, images, and videos against clear criteria, identify errors, and write concise justifications to support your judgments.

You will follow detailed guidelines, provide constructive feedback, and help maintain high standards across products. The role suits careful writers with strong judgment who can work independently in a distributed team.

Responsibilities

• Evaluate outputs from AI models, text, images, video, and documents against detailed criteria; assess quality, spot errors, and write clear justifications.

Job description

At Workada, we're not just labeling data, we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent, and useful.

Remote

Full-time

What You'll Do

Evaluate outputs from AI models, text, images, video, and documents against detailed criteria. Assess quality, spot errors and inconsistencies, and write clear, well-reasoned justifications for your judgments. Every evaluation you complete helps these systems perform better in the real world.

Who We're Looking For

People who write clearly, think critically, and can back up a judgment call with a clear explanation. This role suits people who've done work built around precise written evaluation, UI/UX design, graphic design, photography, video production, editorial or research work, or writing technical specs and requirements.

• Strong readers and writers with sound judgment
• Comfortable evaluating creative or technical work against a set of criteria
• Takes quality seriously and catches what others miss
• Can follow detailed written guidelines independently

Qualifications

Technical Requirements

What We Offer

• Clear guidelines and training
• Performance feedback and opportunities to grow
• A mission-driven team focused on accuracy and quality