Evaluate AI model outputs remotely at Workada using critical thinking and exact 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 clear justifications to make advanced systems more accurate, consistent, and useful. The work suits strong 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 clear,
  
  
  
  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.