• Role: Digital Content 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 Digital Content 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
• Annotate, categorize, and validate large-scale multimodal datasets according to strict project guidelines.
• Assess and grade the quality of AI-generated content, ensuring it meets strict linguistic and structural standards.
• Escalate ambiguous data inputs and collaborate on improving classification rules and standards.
• Deliver high-volume data review tasks efficiently without compromising on precision or accuracy.

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-level fluency in English with exceptional written communication skills.
• Reliable high-speed internet and home office setup.
• Residency and work authorization in the United States or Canada is strictly required. 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

📌 Digital Content Specialist (Canada)
🏢 Crewlia
📍 Canada