NLP Data annotator

Job Description

JOB SUMMARY We are looking for a detail-oriented NLP Data Annotator to support the development of cutting-edge Natural Language Processing (NLP) systems. In this role, you will label, classify, and evaluate text and/or speech data to improve the performance of AI models, including 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 detailed 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.

Requirements:

Bachelor’s degree (Linguistics, English, Communications, Computer Science, or 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, CSV

Knowledge of evaluation metrics (precision, recall, F1-score)

Experience working with APIs and data pipelines

Strong reading comprehension and analytical skills