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
Job Summary
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.
Responsibilities include reviewing annotations, gradings, and AI-generated outputs, validating adherence to project guidelines, and identifying errors, inconsistencies, ambiguities, and potential biases.
This role offers the opportunity to work on real-world LLM and multimodal projects, directly impacting model quality and reliability.
Matching Summary
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.
Skills & Requirements
Must-have
AI/ML data annotation experience
LLM and multimodal AI systems
Reviewing annotations and gradings
Applying complex guidelines consistently
Identifying errors and biases
Providing actionable feedback
Nice-to-have
Linguistics or content analysis background
Experience with annotation platforms
Content writing or prompt authoring
Working in fast-paced environments
Managing pilot projects
Key Requirements
Experience in quality assurance or content review
Familiarity with LLMs and multimodal AI
Experience reviewing gradings or structured annotations