Remote Data Labeling Specialist for AI Quality

Quik Hire Staffing; United States; Remote; USD 42,000 - 60,000; 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. You will ensure high quality across text, images, spreadsheets, and complex documents.

You will annotate according to guidelines, review model outputs for accuracy and coherence, and help refine labeling taxonomies by flagging edge cases and ambiguities. The role emphasizes precision, reliability, and daily throughput in a remote US/Canada-friendly setup.

Qualifications

• Experience in data annotation, QA, or content evaluation.
• Exceptional attention to detail and analytical skills.
• Native or professional-level English proficiency.
• Reliable high-speed internet and home office setup.

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

Attention to detail

Reading comprehension

Analytical evaluation

English proficiency

Data annotation

Job description

• Location: Remote (United States & Canada Only)

Employment Type: Contract / Full-Time

Important Eligibility Notice:

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 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.

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.