QA Analyst (Remote)

Résumé du poste

The role involves annotating, categorizing, and validating large-scale multimodal datasets to improve AI model quality. Responsibilities include reviewing AI outputs for factual accuracy and identifying labeling ambiguities to refine taxonomies.

Détails du poste

Role: QA Analyst (Remote) 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. Apply Now!

Ce que vous ferez

The role involves annotating, categorizing, and validating large-scale multimodal datasets to improve AI model quality. Responsibilities include reviewing AI outputs for factual accuracy and identifying labeling ambiguities to refine taxonomies.

Exigences

Candidates must have exceptional attention to detail and professional-level English proficiency. Prior experience in data annotation or quality assurance is preferred, and residency in the US or Canada is required.

Compétences indiquées

• Reading comprehension · Souhaitée
• Assurance qualité · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Labeling
• Data Annotation
• Quality Assurance
• Content Evaluation
• Multimodal Dataset Review
• Analytical Evaluation
• Reading Comprehension
• English Proficiency

Domaines d’emploi

• Data & Analytics
• Technology
• Software
• Science & Research