• Role: Data Labeling Analyst
•

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 Data Labeling Analyst 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
• Classify and label diverse text, image, and document datasets to train next-generation AI models.
• Audit AI system outputs to identify hallucinations, formatting errors, or deviations from user prompts.
• Spot edge cases and provide detailed feedback to improve the underlying logic of AI taxonomies.
• Achieve and sustain top-tier quality scores while processing datasets at scale.

Requirements:




• Meticulous attention to detail combined with strong analytical and reading comprehension abilities.
• Prior experience in data annotation, quality assurance, data review, or content evaluation is preferred.
• Native or skilled-level English proficiency (written and verbal).
• Requires a secure home office environment, a modern computer, and fast, reliable internet.
• Geographically located within the US or Canada (applications from other regions will be rejected). Equal Opportunity 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

📌 Data Labeling Analyst (Canada)
🏢 Crewlia
📍 Canada