Web Data Analyst Annotator

About the role

We are looking for a detail‑oriented Web Data Analyst Annotator to collect, analyse and annotate web‑based datasets that train artificial‑intelligence models and large language models. The role bridges web research, data analysis and annotation, ensuring extracted information is accurate, structured and meets project standards.

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, validate sources and review AI‑generated outputs related to web data.
• Maintain high annotation accuracy and consistency following detailed guidelines.
• Collaborate with global data operations, data scientists and AI trainers.

Required profile

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Mass Communication, Social Sciences or a related field.
• 3–5 years of experience in data analysis, research, annotation or web analytics.
• Relevant certification such as Google Data Analytics Certificate (preferred) or Microsoft Data Fundamentals.
• Understanding of web structures, online data formats and search engine behaviour.
• Ability to analyse large volumes of data accurately.

Required skills

• Google Data Analytics certification (or equivalent).
• Microsoft Data Fundamentals or similar data analytics certification.
• HTML basics and familiarity with web technologies.
• Data analysis and web research techniques.
• Annotation tools and quality‑control processes.