• Role: Product Tester
•

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 Product Tester 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.
• Identify edge cases, labeling ambiguities, and data inconsistencies to help improve labeling taxonomies.
• Balance speed and meticulous attention to detail to achieve strict weekly productivity metrics.

Requirements:
• Exceptional attention to detail,



reading comprehension, and analytical evaluation skills.
• Prior experience in data annotation, quality assurance, data review, or content evaluation is preferred.
• Native or professional-level English proficiency (written and verbal).
• Dependable high-speed internet access and a personal computer meeting minimum system requirements.
• Geographically located within the US or Canada (applications from other regions will be rejected). Equal Prospect 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

📌 Product Tester (Canada)
🏢 Crewlia
📍 Canada