Opens LinkedIn
- Employment type
- Contract
- Experience level
- Entry, Junior · 0+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Associate
Job summary
Classify, label, and structure text, image, spreadsheet, and document datasets for AI model training, while reviewing AI-generated content for alignment with human intent and factual accuracy. Identify ambiguous labels, edge cases, and inconsistencies, and meet daily production targets while maintaining quality standards.
Job details
Role: Data 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 Analyst 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: Classify and label diverse text, image, and document datasets to train next-generation AI models. Analyze AI-generated text and media to verify alignment with human intent and factual truth. Identify edge cases, labeling ambiguities, and data inconsistencies to help improve labeling taxonomies. Consistently meet daily volume targets while upholding rigorous quality assurance standards. Requirements: Meticulous attention to detail combined with strong analytical and reading comprehension abilities. Previous work in UI/UX review, editorial analysis, quality control, or machine learning data prep is a plus. Native or professional-level English proficiency (written and verbal). Dependable high-speed internet access and a personal computer meeting minimum system requirements. Geographically located within the US or Canada (applications from other regions will be rejected). 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
Classify, label, and structure text, image, spreadsheet, and document datasets for AI model training, while reviewing AI-generated content for alignment with human intent and factual accuracy. Identify ambiguous labels, edge cases, and inconsistencies, and meet daily production targets while maintaining quality standards.
Requirements
Candidates need meticulous attention to detail, strong analytical and reading comprehension abilities, and native or professional-level written and spoken English. Prior experience in UI/UX review, editorial analysis, quality control, or machine-learning data preparation is a plus; applicants must reside in the United States or Canada, be authorized to work there, and have reliable high-speed internet and a suitable personal computer.
Listed skills
- Reading comprehension · Preferred
- Quality assurance · Preferred
- Attention to detail · Preferred
- Data analysis · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Analysis
- Data Annotation
- Data Classification
- Quality Assurance
- Attention To Detail
- Analytical Skills
- Reading Comprehension
- English Proficiency
- Text Analysis
- Image Analysis
- Document Analysis
- Fact-Checking
- Taxonomy Improvement
- Data Quality Control
- Editorial Analysis
- UI/UX Review
Job areas
- Data & Analytics
- Technology
- Software
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