Remote Data Labeling Specialist — Multimodal AI

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

Job summary

Quik Hire Staffing is seeking a Data Labeling Specialist to review, annotate, and structure multimodal datasets for AI models. Remote role based in the United States or Canada, with strict eligibility for residency and work authorization.

Responsibilities include annotating large datasets, validating model outputs for accuracy and coherence, and maintaining high quality standards within tight throughput goals. Prior labeling experience is preferred, and strong English skills are required.

Qualifications

• Must have 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) is required.

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 improve labeling taxonomies.
• Maintain high accuracy, quality benchmarks, and daily throughput goals.

Skills

Data annotation

Quality assurance

Data review

Content evaluation

English proficiency

Job description

Quik Hire Staffing is seeking a Data Labeling Specialist to review, annotate, and structure multimodal datasets for AI models. Remote role based in the United States or Canada, with strict eligibility for residency and work authorization.

Responsibilities include annotating large datasets, validating model outputs for accuracy and coherence, and maintaining high quality standards within tight throughput goals. Prior labeling experience is preferred, and strong English skills are required.