QA Analyst (Remote)

Job summary

Annotate, categorize, and validate multimodal datasets according to project guidelines, and review AI model outputs for accuracy, coherence, alignment, and formatting. Identify ambiguous labels, edge cases, and inconsistencies while meeting quality benchmarks and daily throughput goals.

Job details

Role: QA Analyst (Remote) 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 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. Apply Now!

What you’ll do

Annotate, categorize, and validate multimodal datasets according to project guidelines, and review AI model outputs for accuracy, coherence, alignment, and formatting. Identify ambiguous labels, edge cases, and inconsistencies while meeting quality benchmarks and daily throughput goals.

Requirements

Candidates need strong attention to detail, reading comprehension, and analytical evaluation skills, with professional-level English proficiency. Experience in data annotation, quality assurance, data review, or content evaluation is preferred; applicants must reside in the United States or Canada and have reliable high-speed internet and a home office setup.

Listed skills

• Reading comprehension · Preferred
• Quality assurance · Preferred
• Attention to detail · Preferred
• Data Validation · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Annotation
• Quality Assurance
• Data Review
• Content Evaluation
• Attention To Detail
• Reading Comprehension
• Analytical Evaluation
• English Proficiency
• Dataset Categorization
• Data Validation
• AI Output Review
• Factual Accuracy Assessment
• Linguistic Coherence Assessment
• Edge Case Identification
• Data Consistency Review

Job areas

• Data & Analytics
• Technology

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