NLP Data Annotator

About the role

We are looking for a detail‑oriented NLP Data Annotator to support the development of cutting‑edge Natural Language Processing systems. The role involves labeling, classifying, and evaluating text and speech data to improve AI models such as 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 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.

Required profile

• Bachelor’s degree in Linguistics, English, Communications, Computer Science, or a 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, and CSV.
• Knowledge of evaluation metrics (precision, recall, F1‑score).
• Experience working with APIs and data pipelines.
• Strong reading comprehension and analytical skills.

Required skills

• JSON
• XML
• CSV
• APIs
• Data pipelines
• Evaluation metrics (precision, recall, F1‑score)