Spanish Data Annotator and Analyst

Description Spanish Data Annotator and Analyst at Walmart Global Tech IL  About the role: We are looking for a native Spanish speaker with a high level of proficiency in English to join our Annotation and Analysis team at the as a Data Annotator and Analyst. In this role, you will work with large volumes of data in both Spanish and English, annotating and analyzing datasets used to evaluate and train machine learning models, including large language models (LLMs). Your work will involve reviewing model outputs and preparing high-quality training data that supports the development and continuous improvement of AI-driven products. In addition, as part of the job, you will conduct complex analysis on the annotated data and provide insights to the other stakeholders. This position is ideal for someone passionate about linguistics and data, and who enjoys working on detail-oriented tasks that directly impact model quality. As part of a collaborative, cross-functional team, you will work closely with Data Scientists and Product Managers to ensure that datasets are accurately labeled and annotation standards support the development of reliable machine learning systems. Responsibilities: Evaluate the quality of machine-translated text, with a focus on Spanish language accuracy and fluency. Annotate and assess AI model responses to support systematic evaluation and improvement of model performance. Create high-quality annotated datasets used to train and evaluate LLMs and other NLP models. Write and refine LLM prompts that support scalable human annotation workflows. Collaborate with cross-functional teams, including Data Scientists and Product Managers, to communicate linguistic nuances and implications of Spanish translations on model behavior and user experience. Analyze annotated data and evaluation results to identify patterns, assess model quality, and surface insights for model improvement. Requirements Native Spanish speaker and high proficiency in English. Experince with data annotation or linguistic analysis. Strong attention to detail and ability to perform precise, consistent work across large volumes of data. Interest in linguistics, language quality, and the interaction between language and AI systems. Ability to follow detailed annotation guidelines and maintain high accuracy and consistency. Ability to analyze annotated data and evaluation results to identify patterns and assess model performance. Ability to work independently with strong communication skills. Experience with using excel for data analysis Nice to have: Experience with translation quality evaluation, or similar language-focused work is an advantage. Familiarity with LLMs, machine learning concepts, or AI model evaluation. Handling e-commerce related textual data.