Web Content Analyst Annotator

About the role

We are looking for a Web Content Analyst Annotator to evaluate, categorize, and annotate digital content across websites. The role supports AI systems that handle content understanding, ranking, moderation, and quality assessment, helping improve search relevance and content recommendation.

Key responsibilities

• Annotate and classify web content datasets, including pages, articles, multimedia, and user‑facing information.
• Evaluate content quality, tone, relevance, and label categories and user intent.
• Review AI‑generated responses and flag misinformation, unsafe or low‑quality content.
• Apply annotation guidelines consistently and maintain dataset accuracy and integrity.
• Provide structured feedback to improve AI training and performance.

Required profile

• Bachelor’s degree in Mass Communication, English, Linguistics, Journalism, Marketing, Information Management, Social Sciences or a related field.
• 2–5 years of experience in content analysis, writing, editing, moderation, or digital media.
• Understanding of online content ecosystems and ability to interpret context and intent.
• Familiarity with online research tools; knowledge of SEO or digital content evaluation is an advantage.
• Relevant certifications such as Google Digital Skills, HubSpot/Google Content Marketing, or Digital Media Analysis (optional).

Required skills

• No specific technical skills are listed; the role relies on analytical and annotation abilities.