Remote AI Content Quality Evaluator

Hired; South Africa; Remote; ZAR 300,000 - 520,000; Full time

Job summary

Hired is seeking an AI Content Evaluation Specialist to join our client on a full-time basis. The role focuses on assessing AI-generated content for accuracy, relevance, and clarity across multiple languages, providing structured feedback to improve model performance.

Responsibilities include evaluating content quality, maintaining consistent evaluation standards, and documenting findings to support ongoing improvements in AI content generation systems.

Qualifications

• Experience in content evaluation, proofreading, or quality assurance with a focus on AI-generated text.
• Strong proficiency in multiple languages and familiarity with 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 working with AI models, natural language processing, or related technologies is a plus.

Responsibilities

• Evaluate AI-generated content for factual accuracy, grammatical correctness, 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

Multilingual proficiency

QA / proofreading

Attention to detail

AI/NLP experience

Job description

Hired is seeking an AI Content Evaluation Specialist to join our client on a full-time basis. The role focuses on assessing AI-generated content for accuracy, relevance, and clarity across multiple languages, providing structured feedback to improve model performance.

Responsibilities include evaluating content quality, maintaining consistent evaluation standards, and documenting findings to support ongoing improvements in AI content generation systems.