Remote Data Labeling Specialist – Multimodal QA

Quik Hire Staffing; United States; Remote; USD 25,000 - 39,000; Full time

Job summary

Quik Hire Staffing is seeking a detail-oriented Data Labeling Specialist to review, annotate, and structure multimodal datasets for AI models. This remote role supports applicants in the United States and Canada, working with text, images, spreadsheets, and complex documents.

You will ensure data quality by following project guidelines, reviewing model outputs for accuracy and coherence, and flagging ambiguities to improve labeling taxonomies.

Qualifications

• 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).

Responsibilities

• Annotate, categorize, and validate large-scale multimodal datasets according to 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.

Skills

Attention to detail

Reading comprehension

Analytical evaluation

Job description

Quik Hire Staffing is seeking a detail-oriented Data Labeling Specialist to review, annotate, and structure multimodal datasets for AI models. This remote role supports applicants in the United States and Canada, working with text, images, spreadsheets, and complex documents.

You will ensure data quality by following project guidelines, reviewing model outputs for accuracy and coherence, and flagging ambiguities to improve labeling taxonomies.