Job Title: Web Data Analyst Annotator
Job Summary
We are seeking a detail-oriented Web Data Analyst Annotator to collect, analyze, validate, and annotate web-based datasets used in training Artificial Intelligence and Large Language Models (LLMs). This role combines web research, data analysis, and annotation expertise to ensure that information extracted from websites is accurate, structured, and aligned with project standards.
You will work closely with data scientists, AI trainers, and data operations teams to improve model reasoning, search quality, and automated web understanding systems.
This position is ideal for candidates who enjoy working with online data, digital research, analytics, and AI-driven technologies.
Key Responsibilities
- Analyze and annotate web datasets for AI training.
- Extract structured information from websites and online sources.
- Evaluate webpage quality, relevance, and data accuracy.
- Perform web research and validate sources and review AI-generated outputs related to web data.
- Maintain high annotation accuracy and consistency.
- Follow detailed annotation guidelines and quality standards.
- Collaborate with general data operations teams.
Job Requirements
- Bachelor’s Degree in Data Science, Computer Science, Information Systems, Statistics, Mass Communication and Social Sciences or related field.
- 3-5 years’ experience in data analysis, research, annotation, or web analytics.
- Experience with datasets or digital content analysis preferred.
- Must be certified in any of the following: Google Data Analytics Certificate (preferred), Microsoft Data Fundamentals, Data Analytics or Research Certification (advantage), AI/Data Annotation Training certification (optional advantage).
- Understanding of web structures and online data formats.
- Understanding of search engines and web behavior.
- Ability to analyze large data volumes accurately.
- Knowledge of HTML basics or web technologies (advantage).
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