21 Oct
|
Crewlia
|
Canada
• Role: Media Reviewer
•
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 Media Reviewer 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
• Perform precise data annotation and validation tasks across a variety of digital formats and subjects.
• 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.
• Achieve and sustain top-tier quality scores while processing datasets at scale.
Requirements:
• Outstanding critical thinking skills with the ability to dissect complex written instructions.
• Prior experience in data annotation, quality assurance, data review, or content evaluation is preferred.
• Strong written and spoken English proficiency to clearly articulate complex judgments.
• Consistent, high-speed broadband connection and a quiet remote working environment.
• Geographically located within the US or Canada (applications from other regions will be rejected). 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
📌 Media Reviewer (Canada)
🏢 Crewlia
📍 Canada