NLP Data annotator

Odixcity Consulting; La Réunion; À distance; EUR 32 000 - 53 000; Plein temps

Résumé du poste

Odixcity Consulting is seeking a detail-oriented NLP Data Annotator to label, classify, and evaluate text and speech data to improve AI models. This remote role supports global projects and requires precision and reliability.

You will read and analyze data according to guidelines, perform sentiment, intent, and entity tagging, ensure high-quality outputs, and contribute to process improvements within cross-functional teams.

Qualifications

• Bachelor’s degree in Linguistics, English, Communications, CS, or related field.
• Strong command of written and spoken English; additional languages 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.

Responsabilités

• Read and analyze text data according to annotation guidelines.
• Label sentiment, intent, entities, and categories.
• Follow annotation instructions with high accuracy and consistency.
• Conduct quality checks and resolve discrepancies.
• Meet productivity and quality targets.
• Provide feedback to improve annotation processes.

Connaissances

Strong English

Attention to detail

Reading comprehension

Analytical skills

Formation

Bachelor's degree in Linguistics/English/CS

Outils

JSON

XML

CSV

APIs

Description du poste

JOB TITTLE: NLP Data Annotator

LOCATION: Remote (Worldwide)

EMPLOYMENT TYPE: Full Time

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