Remote NLP Data Annotator (Full‑Time)

About the role

We are seeking a detail‑oriented NLP Data Annotator to support the development of cutting‑edge natural language processing systems. The role is fully remote and involves labeling, classifying, and evaluating text and speech data to improve AI models such as chatbots, search engines, and language‑understanding tools.

Key responsibilities

• Read and analyze text or speech data following detailed annotation guidelines.
• Perform sentiment labeling, intent classification, entity tagging, and text categorisation.
• Maintain high accuracy and consistency while following annotation instructions.
• Conduct quality checks, resolve annotation discrepancies and meet productivity targets.
• Provide feedback to refine 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.

Required skills

• Familiarity with data formats such as JSON, XML and CSV.
• Knowledge of evaluation metrics including precision, recall and F1‑score.
• Experience working with APIs and data pipelines.