• Role: Quality Assessment Coordinator
•

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 Quality Assessment Coordinator 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.
• Critically evaluate generative AI responses for logic, tone, safety, and factual correctness.
• Spot edge cases and provide detailed feedback to improve the underlying logic of AI taxonomies.
• Maintain high accuracy, quality benchmarks, and daily throughput goals.

Requirements:
• Exceptional attention to detail,



reading comprehension, and analytical evaluation skills.
• Background in editing, technical writing, QA testing, or data labeling is highly advantageous.
• Impeccable command of the English language, including grammar, syntax, and cultural nuances.
• Requires a secure home office environment, a modern computer, and fast, reliable internet.
• Strictly limited to applicants physically located 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

📌 Quality Assessment Coordinator (Canada)
🏢 Crewlia
📍 Canada