Developing training datasets for AI models requires attention to detail and a deep understanding of language nuances.
Main Responsibilities:
* Enhancing the accuracy and fluency of AI models through data annotation
* Collaborating with cross-functional teams to refine and iterate data sets
* Improving grammar, syntax, and sentence structure of expert-generated training data and AI model-generated text
Key requirements include native-level fluency in Portuguese, strong proficiency in English, excellent writing and linguistic analysis skills, research skills, and ability to work independently.
Evaluation Process:
* Candidates must pass project-specific assessments evaluating language proficiency and analytical abilities