Job description
We are looking for a detail-oriented NLP Data Annotator to support the development of cutting-edge Natural Language Processing (NLP) systems. In this role, you will label, classify, and evaluate text and/or speech data to improve the performance of AI models, including chatbots, search engines, and language understanding systems. Key Responsibilities: - Read and analyze text data according to detailed annotation guidelines. - Perform tasks such as sentiment labeling, intent classification, entity tagging, and text categorization. - Follow detailed annotation instructions with high accuracy and consistency. - Conduct quality checks and resolve annotation discrepancies - Meet productivity and quality targets. - Provide feedback to improve annotation processes.
Requirements
- Bachelor’s degree (Linguistics, English, Communications, Computer Science, or related field preferred) - Strong command of written and spoken English (additional languages are a plus) - Experience with large language model (LLM) training datasets - Familiarity with data formats such as JSON, XML, CSV - Knowledge of evaluation metrics (precision, recall, F1-score) - Experience working with APIs and data pipelines - Strong reading comprehension and analytical skills