Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:
ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.
ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.
DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection.
RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output.
Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data.
ROLE OVERVIEW
We are looking for a detail-oriented and linguistically skilled Spanish Text Annotator Specialist to support the development and enhancement of AI and machine learning models. In this role, you will label, annotate, and classify text data according to predefined guidelines, contributing to the training of natural language processing (NLP) systems such as chatbots, virtual assistants, and large language models (LLMs).
This is an ideal opportunity for candidates with a strong command of language, a passion for precision, and an interest in contributing to cutting-edge AI technologies.
RESPONSIBILITIES
- Read, review, and annotate large volumes of text data with a high degree of accuracy and consistency.
- Follow detailed annotation guidelines to label data according to categories such as intent, sentiment, named entities, or syntactic structure.
- Collaborate with project managers, linguists, and QA leads to refine annotation rules and resolve ambiguities.
- Provide feedback on tool usability, guideline clarity, and data quality.
- Conduct quality checks and peer reviews on annotated datasets.
- Meet productivity and quality targets as defined by the project scope.
REQUIREMENTS
- Native-level or near-native fluency in Spanish and strong command of English.
- Prior experience with text annotation, linguistic data labeling, or NLP-related projects is preferred.
- Excellent reading comprehension and attention to detail.
- Familiarity with linguistic concepts such as syntax, semantics, and pragmatics is a plus.
- Comfortable working with annotation tools, spreadsheets, or task platforms.
- Able to work independently and manage time effectively in a remote setting.
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