Chinese AI QA Content Specialist
valencia, comunidad valenciana, Spain • Posted June 03, 2026
Job Type:
Full-time
Location:
valencia, comunidad valenciana
Posted:
June 03, 2026
Category:
Other-General
Application Deadline:
July 13, 2026
Role Description
As a
Chinese
QA Content Specialist , you will play a key role in ensuring the quality, consistency, and accuracy of data used to train and evaluate
Large Language Models (LLMs) and multimodal AI systems .
Your primary focus will be on
reviewing annotations, gradings, and AI-generated outputs . You will assess whether annotations follow project guidelines, meet quality standards, and accurately reflect expected model behavior across different modalities.
This role requires strong attention to detail, analytical thinking, and the ability to apply complex guidelines consistently.
Responsibilities Review and quality-check
annotations, gradings, and evaluations
produced for LLM and multimodal projects (text, image, audio, and/or video). Validate that annotations and ratings adhere to
project guidelines, rubrics, and quality standards . Identify errors, inconsistencies, ambiguities, and potential biases...
Chinese
QA Content Specialist , you will play a key role in ensuring the quality, consistency, and accuracy of data used to train and evaluate
Large Language Models (LLMs) and multimodal AI systems .
Your primary focus will be on
reviewing annotations, gradings, and AI-generated outputs . You will assess whether annotations follow project guidelines, meet quality standards, and accurately reflect expected model behavior across different modalities.
This role requires strong attention to detail, analytical thinking, and the ability to apply complex guidelines consistently.
Responsibilities Review and quality-check
annotations, gradings, and evaluations
produced for LLM and multimodal projects (text, image, audio, and/or video). Validate that annotations and ratings adhere to
project guidelines, rubrics, and quality standards . Identify errors, inconsistencies, ambiguities, and potential biases...
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