
AI Automation and NLP Engineering Intern
Category | Grade:Intern | I-1Deadline:21 Aug 2026Job ID:282064Posted on:3 Aug 2026
Overview
Improves an internal platform that converts UN meeting media into verified reporting and analytical outputs through local language-model inference. The intern will expand Python tests, evaluate models and prompts, build deterministic extraction tools and improve modules, documentation and developer workflows.
Department: Environment and Development Division
Languages
Required: English
Desired: Local language
Minimum Experience
No minimum listed
Estimated Salary
Not available
Responsibilities
- Author unit and mocked-model tests to improve coverage across priority Python modules
- Harden pure functions and structured data-extraction paths
- Design model and prompt evaluations for translation selection and speech-recognition errors
- Build labelled gold datasets that make evaluation results measurable
- Develop deterministic pattern, catalogue and fuzzy-matching extraction tools
- Scaffold modules and utilities within the established software architecture
- Improve code documentation, refactoring and developer tooling
Requirements
- Enrolment in or completion of a relevant graduate programme, or enrolment in or completion of the final year of a relevant bachelor’s degree
- Strong Python proficiency
- Experience with Pytest and Git
- Foundational understanding of natural language processing
- Understanding of large-language-model prompting and evaluation
- Clean, documented and reproducible coding practice
- Fluency in spoken and written English
Skills
Python DevelopmentSoftware TestingNatural Language ProcessingModel EvaluationPrompt EvaluationData ExtractionTest AutomationCode RefactoringTechnical DocumentationReproducible Development
Tools
PythonPytestGitOllamaHugging FaceJSON
Additional info
- Unpaid full-time internship for four to six months
- Work may be fully remote subject to approval or based in Bangkok
- Interns work 35 hours across five days per week
- Travel, visa, accommodation and living costs are borne by the intern or sponsoring institution