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Internship Natural Language Processing Engineer information

What is the difference between Internship Natural Language Processing Engineer vs Data Scientist Intern?

AspectInternship Natural Language Processing EngineerData Scientist Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of NLPStatistics, programming, data analysis knowledge
Work EnvironmentTech companies, research labs, AI startupsTech firms, finance, healthcare, consulting
Employer & Industry UsageAI and NLP-focused roles in tech industryData analysis across various industries

Internship Natural Language Processing Engineer roles focus on developing NLP models and algorithms, requiring knowledge of linguistics and machine learning. Data Scientist Intern positions involve analyzing large datasets to extract insights, often requiring statistical and programming skills. Both internships are common in tech companies but serve different functions within data and AI teams.

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Internship Natural Language Processing Engineer jobs near you

Bilingual NLP Engineer (Japanese)- Remote

André Global, Inc.

Salt Lake City, UT • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Overview
As an NLP Engineer , you will play a pivotal role in the development and
enhancement of NLP components integral to our products. We are seeking native speakers
proficient in Japanese as part of our Voice team to work on state-of-the-art voice modelling
and machine learning projects.
Key Responsibilities
Must-Haves
• Native or Near-Native Japanese required
• Willingness to engage in hands-on data work, including annotation and transcription
tasks
• Demonstrate exceptional knowledge of linguistics, including morphology, syntax, and
phonetics & phonology
• Possess a deep understanding of phonetic alphabets and fundamental concepts in
natural language processing (NLP) with a focus on its application in text-to-speech
(TTS) technologies
• Proficient in text manipulation, lexical analysis, and data processing, with basic
scripting skills, preferably in Python.
• Ability to conduct evaluations of various models and data sets, measure
improvements, and document findings effectively
• Capable of writing specifications for task automation and tool development,
contributing to process efficiency
Good-to-Haves
• Prior experience in a software development environment, collaborating closely with
engineering teams
• Familiarity with researching resources such as data repositories and code libraries to
support project requirements
• Familiarity in software issue analysis and troubleshooting quality issues in
speech-related applications
• Interest in Audio (We are an AI Voice & Audio Automation Company)
• Fluency in multiple languages.
• MSc/Ph.D. in a relevant field.

Apply