Web Content Analyst Annotator

About the role

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

Key responsibilities

• Annotate and classify web‑page, article, and multimedia datasets according to defined guidelines.
• Assess content quality, tone, relevance, and user intent, labeling each item appropriately.
• Review AI‑generated responses and flag misinformation, unsafe or low‑quality content.
• Maintain dataset accuracy and integrity while providing structured feedback for model improvement.
• Apply annotation standards consistently across large volumes of data.

Required profile

• Bachelor’s degree in Mass Communication, 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.
• Strong understanding of online content ecosystems and the ability to interpret context and intent.
• Familiarity with SEO concepts or digital content evaluation is an advantage.
• Basic certifications such as Google Digital Skills, HubSpot or Google Content Marketing, or related digital media certifications are preferred.

Required skills

What we offer

• Opportunity to work on cutting‑edge AI training projects.
• Collaborative environment with cross‑functional teams.
• Professional development through exposure to AI content evaluation practices.