Opens LinkedIn
- Employment type
- Contract
- Experience level
- Entry, Junior · 0+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Associate
Job summary
Process, categorize, review, and annotate multimodal datasets, including text, images, spreadsheets, and structured documents, to ensure high-quality inputs for AI models. Evaluate model outputs for accuracy, coherence, alignment, and formatting, identify edge cases, and provide feedback to improve AI taxonomies while maintaining high quality at scale.
Job details
Role: QA Tester (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 QA Tester 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: Process and categorize multimodal data streams to ensure high-quality inputs for machine learning algorithms. Review AI model outputs for factual accuracy, linguistic coherence, alignment, and formatting correctness. Spot edge cases and provide detailed feedback to improve the underlying logic of AI taxonomies. Achieve and sustain top-tier quality scores while processing datasets at scale. Requirements: Meticulous attention to detail combined with strong analytical and reading comprehension abilities. Demonstrated history in quality assurance, content moderation, research, or data validation. Native-level fluency in English with exceptional written communication skills. Consistent, high-speed broadband connection and a quiet remote working environment. Strictly limited to applicants physically located 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
Process, categorize, review, and annotate multimodal datasets, including text, images, spreadsheets, and structured documents, to ensure high-quality inputs for AI models. Evaluate model outputs for accuracy, coherence, alignment, and formatting, identify edge cases, and provide feedback to improve AI taxonomies while maintaining high quality at scale.
Requirements
Applicants should have meticulous attention to detail, strong analytical and reading comprehension abilities, and experience in quality assurance, content moderation, research, or data validation. Native-level English fluency, excellent written communication, reliable high-speed broadband, a quiet remote workspace, and current residence and work authorization in the United States or Canada are required.
Listed skills
- Reading comprehension · Preferred
- written communication · Preferred
- Quality assurance · Preferred
- Attention to detail · Preferred
- Data Validation · Preferred
- Quality Control · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Attention To Detail
- Analytical Skills
- Reading Comprehension
- Quality Assurance
- Content Moderation
- Research
- Data Validation
- English Fluency
- Written Communication
- Data Annotation
- Data Categorization
- Factual Accuracy Review
- Linguistic Coherence Review
- Edge Case Identification
- Quality Control
Job areas
- Technology
- Data & Analytics
- Software
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