NLP Data Annotator (Remote)

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 text and speech data to help 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 tasks such as sentiment labeling, intent classification, entity tagging, and text categorization.
• Maintain high accuracy and consistency while following annotation instructions.
• 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.
• Familiarity with data formats such as JSON, XML, and CSV.
• Knowledge of evaluation metrics like precision, recall, and F1‑score.
• Experience working with APIs and data pipelines.
• Excellent reading comprehension and analytical abilities.

Required skills

• JSON
• XML
• CSV
• APIs
• Data pipelines
• Evaluation metrics (precision, recall, F1‑score)
• Large language model (LLM) training datasets