Web content analyst annotator

Odixcity Consulting; South Africa; On-site; ZAR 240,000 - 360,000; Full time

Job summary

Odixcity Consulting is seeking a Web Content Analyst Annotator to evaluate, classify, and annotate digital content across websites to support AI systems in understanding and ranking information.

The role involves reviewing pages, articles, multimedia content, and user-facing data to help train AI models for responsible online information interpretation, improved search relevance, and quality assessment. A strong grasp of online content ecosystems is required.

Qualifications

• Bachelor’s Degree in Mass Communication, English Language, Linguistics, Journalism, Marketing, Information Management, Social Sciences or related discipline.
• Understanding of online content ecosystems.
• Knowledge of SEO or digital content evaluation.
• Ability to interpret context and intent accurately and Familiarity with online research tools.
• Required Certifications (Basic) such as Google Digital Skills Certification, Content Marketing Certification (HubSpot/Google preferred), Digital Media or Content Analysis Certification (advantage), AI Content Evaluation Training (optional advantage)
• 2–5 years’ experience in content analysis, writing, editing, moderation, or digital media.
• Experience working with online platforms or datasets preferred.

Responsibilities

• Annotate and classify web content datasets.
• Evaluate content quality, tone, and relevance.
• Label content categories and user intent.
• Review AI-generated content responses.
• Identify misinformation, unsafe content, or low-quality data.
• Apply annotation guidelines consistently.
• Provide structured feedback for AI training improvement.
• Maintain dataset accuracy and integrity.

Skills

Online content ecosystems

SEO knowledge

Context & intent interpretation

Online research tools

Google Digital Skills Certification

Content Marketing Certification

Digital Media Certification

AI Content Evaluation Training

Education

Bachelor’s Degree in Mass Communication, English/Linguistics/Journalism/Marketing/Information Management/Social Sciences or related

Job description

Web Content Analyst Annotator

Job Summary: We are seeking for a Web Content Analyst Annotator to ensure evaluating, categorizing, and annotating digital content across websites to support AI systems responsible for content understanding, ranking, moderation, and information quality assessment.

The analyst will review web pages, articles, multimedia content, and user-facing information to ensure datasets reflect real-world online communication patterns. The ideal candidate understands digital media, online communication, and content quality standards and will help train AI models to interpret online information responsibly while improving search relevance, content recommendation systems, and AI-generated responses. This position blends content analysis, data annotation, digital literacy, and AI evaluation.

Key Responsibilities

• Annotate and classify web content datasets.
• Evaluate content quality, tone, and relevance.
• Label content categories and user intent.
• Review AI-generated content responses.
• Identify misinformation, unsafe content, or low-quality data.
• Apply annotation guidelines consistently.
• Provide structured feedback for AI training improvement.
• Maintain dataset accuracy and integrity.

Job Requirements

• Bachelor’s Degree in Mass Communication, English Language, Linguistics, Journalism, Marketing, Information Management, Social Sciences or related discipline.
• Understanding of online content ecosystems.
• Knowledge of SEO or digital content evaluation (advantage).
• Ability to interpret context and intent accurately and Familiarity with online research tools.
• Required Certifications (Basic) such as Google Digital Skills Certification, Content Marketing Certification (HubSpot/Google preferred), Digital Media or Content Analysis Certification (advantage), AI Content Evaluation Training (optional advantage)
• 2–5 years’ experience in content analysis, writing, editing, moderation, or digital media.
• Experience working with online platforms or datasets preferred.