WO

Data Labeling Specialist

Dollard-des-Ormeaux, Montréal
On-site
Full-time
No salary postedYesterday
Employment type
Full-time · On-site
Posted
September 13, 2026
Province
Quebec (QC)

Hiring confidence: Sparse posting · 7/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

This is only part of this posting — the job board it came from publishes a short summary. Read the full posting.
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. 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…

This role is based in Quebec. Workada is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Quebec

Average salary for Data Labeling Specialist in Quebec

We do not have a salary benchmark for this title in Quebec yet. The posting does not state a salary either.

NOC code

This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.

Typical qualifications for Canadian employers

  • Remote work capability
  • Ability to evaluate AI model outputs
  • Ability to assess quality across multiple media types (text, images, video, documents)
  • Strong written communication skills

Fit check

Is this role right for you?

Top skills this posting asks for:

  • Data labeling
  • Quality assessment
  • AI model evaluation

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What you'll do

  • Evaluate outputs from AI models across various formats
  • Assess quality and identify errors and inconsistencies
  • Write clear, well-reasoned justifications for evaluations
  • Provide feedback to improve system accuracy and consistency
  • Work against detailed evaluation criteria

What you'll need

  • Remote work capability
  • Ability to evaluate AI model outputs
  • Ability to assess quality across multiple media types (text, images, video, documents)
  • Strong written communication skills

About the Company

WO

Workada