Machine Learning Data Evaluator

• Role: Machine Learning Data Evaluator
• 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 Machine Learning Data Evaluator 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:

• Classify and label diverse text, image, and document datasets to train next-generation AI models.
• Review AI model outputs for factual accuracy, linguistic coherence, alignment, and formatting correctness.
• Highlight confusing or contradictory data points to assist in refining overarching project guidelines.
• Deliver high-volume data review tasks efficiently without compromising on precision or accuracy.

Requirements:

• High-level critical analysis skills and the capacity to evaluate nuanced textual and visual data.
• Demonstrated history in quality assurance, content moderation, research, or data validation.
• Advanced English language skills, capable of identifying subtle linguistic inconsistencies.
• Requires a secure home office environment, a modern computer, and fast, reliable internet.
• Must be currently based in the United States or Canada.

Equal Opportunity 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!