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CloudFactory

AI-assisted data labeling and processing services

Bilingual Computational Linguist - English & Spanish

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Part-timeTexas City, TX, USANo salary listedRemote

About the Job

Requirements

  • A bachelor's degree or higher in linguistics, computational linguistics, or natural language processing is required; a master's degree or PhD is a plus.
  • Demonstrated expertise in semantics and morphosyntax, ideally applied to corpus linguistics or natural language processing annotation work.
  • Experience with language data annotation, corpus tagging, or AI/machine-learning training data projects is strongly preferred.
  • Native or near-native English proficiency (CEFR C2) is required.
  • Native or near-native Spanish proficiency (CEFR C2) is required.

Responsibilities

  • Disambiguate word- and phrase-level meaning to build high-quality training data for AI language models.
  • Apply morphosyntactic and semantic analysis to tag and validate grammar concepts with precision.
  • Distinguish read-aloud from spontaneous speech to support speech data annotation.
  • Write linguistically rigorous and useful grammar explanations for learners.
  • Design vocabulary tasks grounded in real usage patterns.
  • Shape lesson outlines reflecting actual English usage, informed by corpus and annotation data.

Desired Qualifications

  • A master's degree or PhD is a plus.
  • Experience with language data annotation, corpus tagging, or AI/machine-learning training data projects is strongly preferred.

About the Company

CloudFactory

AI-assisted data labeling and processing services

CloudFactory provides data labeling and data processing services using a managed workforce combined with AI-assisted labeling. It handles text, audio, and image annotation and specializes in financial document processing, healthcare AI data, retail automation, and geospatial AI initiatives. Clients can use CloudFactory’s platform to manage annotation work or integrate it with their own tools, enabling scalable, high-quality data for training AI models. The company differentiates itself through its large, experienced workforce (25+ million hours of data work) and its ability to deliver accurate labels five times faster than traditional methods, with faster turnaround and cost efficiency. Its goal is to help clients accelerate AI development and bring AI-powered solutions to market more quickly while optimizing business operations and reducing costs.

Company size
1,001-5,000
Company stage
Early VC
Total funding
$78M
Headquarters
Durham, NC
Founded
2010

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