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The Hague
28 Apr 2026
AI Language Engineer, Artificial General Intelligence - Data Services logo

AI Language Engineer, Artificial General Intelligence - Data Services

Amazon

The Hague
28 Apr 2026
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AI Language Engineer, Artificial General Intelligence - Data Services

Amazon's AGI Data Services organization seeks an AI Language Engineer to develop complex multimodal datasets for training AI models. The role involves designing data collections, analyzing data, building tools, and collaborating with cross-functional teams. Requires master's degree in computational linguistics, 2+ years experience, and Python proficiency.

On-siteFull-timeEntry LevelPythonComputational Linguistics

AI Language Engineer, Artificial General Intelligence - Data Services

Amazon's AGI Data Services organization seeks an AI Language Engineer to develop complex multimodal datasets for training AI models. The role involves designing data collections, analyzing data, building tools, and collaborating with cross-functional teams. Requires master's degree in computational linguistics, 2+ years experience, and Python proficiency.

Apply
On-siteFull-timeEntry LevelPython

Salary

Not specified

Work Location

The Hague, South Holland, Netherlands, NL

Work Model

On-site

Experience Required

2 years

Employment Type

Full-time

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)
Pythoncomputational linguisticslanguage data annotationdata markupspeech datatext datamultimodal data
Soft Skills
communicationorganizational skillsdetail orientedfast pacedcollaborativedynamicanalytical skillsproblem solvingcreative thinking

Preferred Qualifications

Technical (Nice-to-have)
Machine LearningAPIsversion controlagile developmentSQLRMatlab

Key Responsibilities

  • •Design complex data collections with human participants for science needs
  • •Author instructions and define quality targets and mechanisms
  • •Coordinate data collection efforts including planning, scheduling, and reporting
  • •Design and conduct complex data creation using synthetic and model-based methods
  • •Analyze and extract insights from large amounts of data
  • •Build tools or tool prototypes for data analysis or creation using Python
  • •Use modeling tools to bootstrap or test new AI functionalities
  • •Collaborate with scientists, software engineers, and data creators to evaluate AI model performance
AILanguage EngineeringData ServicesAGIAmazonComputational LinguisticsPythonMultimodal DataFull-timeOn-site
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