Research Assistant (Remote)
Location: Remote (United States & Canada Only) – Employment Type: Contract / Full-Time
Important Eligibility Notice: 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 Data Labeling 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.
- Review AI model outputs for factual accuracy, linguistic coherence, alignment, and formatting correctness.
- Identify edge cases, labeling ambiguities, and data inconsistencies to help improve labeling taxonomies.
- Maintain high accuracy, quality benchmarks, and daily throughput goals.
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).
- Reliable high‑speed internet and home office setup.
- Must be currently based in the United States or Canada.
We are an equal opportunity employer and are committed to building an inclusive workplace. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability.