- Role: Output Labeling Specialist
- Location: Remote (United States & Canada Only)
- Employment Type: Contract

Location: Applications are strictly restricted to individuals currently residing in and authorized to work in the United States or Canada. Submissions from other regions will be automatically filtered out.

Overview:

We are looking for a detail-oriented Output Labeling Specialist to review, annotate, and structure multimodal datasets for advanced artificial intelligence models. You will play a crucial role in improving data quality across text, images, spreadsheets, and complex structured documents.

Key Responsibilities:

- Perform precise data annotation and validation tasks across a variety of digital formats and subjects.
- Analyze AI-generated text and media to verify alignment with human intent and factual truth.
- Spot edge cases and provide detailed feedback to improve the underlying logic of AI taxonomies.
- Consistently meet daily volume targets while upholding rigorous quality assurance standards.

Requirements:





- High-level critical analysis skills and the capacity to evaluate nuanced textual and visual data.
- Previous work in UI/UX review, editorial analysis, quality control, or machine learning data prep is a plus.
- Strong written and spoken English proficiency to clearly articulate complex judgments.
- Requires a secure home office environment, a modern computer, and fast, reliable internet.
- Must be currently based in the United States or Canada.

Equal Chance Employer: We are an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability.

Apply Now!

📌 Output Labeling Specialist (Canada)
🏢 Crewlia
📍 Canada