Multilingual AI Content Quality Assessor

Hired; South Africa; On-site; ZAR 300,000 - 420,000; Full time

Job summary

Hired in South Africa seeks an AI Content Evaluation Specialist to assess and improve the quality of AI-generated content across languages and formats. The role emphasizes factual accuracy, grammatical correctness, and contextual relevance, with detailed feedback to guide model improvements.

You will collaborate with AI engineers and linguists to identify error patterns and help update training data while maintaining high evaluation standards in a fast-paced technology environment.

Qualifications

• Experience in content evaluation, proofreading, or QA for AI-generated text.
• Strong multilingual abilities and awareness of linguistic nuances in content evaluation.
• Ability to follow structured evaluation guidelines and provide constructive feedback.
• Attention to detail and commitment to maintaining high standards in content assessment.
• Experience with AI models, NLP, or related technologies is a plus.

Responsibilities

• Evaluate AI-generated content for factual accuracy and contextual relevance across multiple languages.
• Provide detailed feedback and ratings based on predefined evaluation criteria to improve model performance.
• Collaborate with AI engineers and linguists to identify patterns in content errors and suggest improvements to training datasets.
• Maintain consistency in evaluation standards by following established guidelines and updating them as needed.
• Document findings and recommendations to support continuous improvement of AI content generation systems.

Skills

Content evaluation

Proofreading

Quality assurance

Multilingual

Guideline adherence

Attention to detail

AI/NLP familiarity

Job description

Hired in South Africa seeks an AI Content Evaluation Specialist to assess and improve the quality of AI-generated content across languages and formats. The role emphasizes factual accuracy, grammatical correctness, and contextual relevance, with detailed feedback to guide model improvements.

You will collaborate with AI engineers and linguists to identify error patterns and help update training data while maintaining high evaluation standards in a fast-paced technology environment.