Remote NLP Data Annotator – Full‑Time

About the role

We are seeking a detail‑oriented NLP Data Annotator to help improve cutting‑edge natural language processing models. Working remotely, you will label, classify, and evaluate text and speech data that powers chatbots, search engines, and language‑understanding systems.

Key responsibilities

• Read and analyze text or speech data following precise annotation guidelines.
• Perform tasks such as sentiment labeling, intent classification, entity tagging, and text categorization.
• Maintain high accuracy and consistency across all annotations.
• Conduct quality checks, resolve 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.
• Excellent reading comprehension and analytical abilities.

Required skills

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