Remote NLP Data Annotator

About the role

We are seeking a detail‑oriented NLP Data Annotator to support the development of cutting‑edge natural language processing systems. Working remotely, you will label, classify and evaluate large volumes of text and speech data to improve AI models such as chat‑bots, search engines and language‑understanding tools.

Key responsibilities

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

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 training datasets.
• Excellent reading comprehension and analytical abilities.

Required skills

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