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Language Engineer/Software Engineer - Australian English

Повна зайнятість Робота на місці

Дата публікації: 03.09.2026

Appen is a global leader in the development of high-quality, human annotated datasets for machine learning and artificial intelligence. With over 20 years of experience, expertise in more than 180 languages, and access to a global crowd of over 400,000, Appen partners with leading technology companies to enhance their machine learning-based products.

Appen, a language and technology company is looking for an Australian English native speaker with experience in natural language processing and/or machine learning.

Project Information

TTS system development role for Australian English for a major technology developer client.

- Start Date: Immediate
- Location: Sydney
- Duration: Approximately 6 weeks initially (subject to extension) and possible training in the US for 3 – 4 weeks
- Hours: Full-time
- Contract Type: Fixed Term Contract

Education

B.S/MSc in Computer Science, Electrical Engineering, or related fields

How to apply

This link will take you to Appen's recruitment database and please register your details and upload a cover letter and resume:

https://talent-appen.icims.com/jobs/2085/language-engineer-software-engineer./job?mode=view

Key Qualifications

• Strong preference for some focus or experience in classification, information retrieval, natural language

Responsibilities

Developing natural language processing code specific to your language; Provide input and suggestions towards innovating new approaches and new product features tailored to your home market; Coming up with clever solutions to complex issues

Requirements

Australian English native speaker fluency.; Work with minimal supervision, proactive and self-motivated for timely delivery of quality code.; Demonstrated creative and critical thinking capabilities and troubleshooting skills.; Engineering experience and interest in diverse technical areas.; Clear and compelling communication skills.; User driven focus.

Nice to have

Native speaker fluency in one or more commercially important natural languages; Proven track record in delivering product-quality code.; Familiar with Java, perl and shell scripting; iOS or Mac OS X development skills.
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