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 ...
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 ...
Japanese Annotation information
What is the difference between Japanese Annotation vs Japanese Translator?
| Aspect | Japanese Annotation | Japanese Translator |
|---|---|---|
| Required Credentials | Language proficiency, annotation tools experience | Language proficiency, translation certifications (e.g., JLPT, CAT tools) |
| Work Environment | Data annotation platforms, research labs | Translation agencies, corporate offices, freelance |
| Employer & Industry Usage | Tech companies, AI development, research | Publishing, localization, international business |
| Search & Comparison Intent | Understanding annotation roles in AI | Translation services, language expertise |
Japanese Annotation involves labeling and tagging Japanese language data for AI training, focusing on data accuracy and annotation tools. Japanese Translators convert written Japanese into another language, emphasizing linguistic skills and cultural understanding. While both roles require Japanese language proficiency, annotation roles are more technical and data-focused, whereas translation roles are linguistic and communication-oriented.
What are popular job titles related to Japanese Annotation jobs in Utah? For Japanese Annotation jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Japanese Annotation jobs in Utah look for? The top searched job categories for Japanese Annotation jobs in Utah are:
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Full-time
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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.
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.