• Role: Review 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 Review 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
• Process and categorize multimodal data streams to ensure high-quality inputs for machine learning algorithms.
• Assess and grade the quality of AI-generated content, ensuring it meets strict linguistic and structural standards.
• Identify edge cases, labeling ambiguities, and data inconsistencies to help improve labeling taxonomies.
• Consistently meet daily volume targets while upholding rigorous quality assurance standards.

Requirements:




• Meticulous attention to detail combined with strong analytical and reading comprehension abilities.
• Demonstrated history in quality assurance, content moderation, research, or data validation.
• Native or professional-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 chance 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

📌 Review Specialist (Canada)
🏢 Crewlia
📍 Canada