Evaluate AI model outputs remotely at Workada using critical thinking and precise written judgment. Assess text, images, video, and documents against detailed criteria.

As a Data Labeling Specialist, you will help improve technology people use every day. Workada relies on your evaluations, error detection, and explicit justifications to make advanced systems more accurate, consistent, and useful. The work suits robust readers and writers who can follow detailed guidelines independently.

Key Responsibilities:
Evaluate AI outputs across text, images, video, and documents
Assess quality against detailed evaluation criteria
Identify errors and inconsistencies in model outputs
Write explicit, well-reasoned justifications for judgments




Support improved real-world system performance through evaluations

Requirements:
Strong reading and writing skills with sound judgment
Comfort evaluating creative or technical work against criteria
Ability to catch details others may miss
Ability to follow detailed written guidelines independently
Experience in precise evaluation, design, photography, research, or writing

Bring careful analysis, strong writing, and consistent judgment to Workada’s remote AI output evaluation work.

📌 Remote Ai Data Evaluation Specialist Moncton
🏢 Workada
📍 Moncton