Quick Overview
Job Description
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
Specific responsibilities will include:
• 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
Education:
B.S/MSc in Computer Science, Electrical Engineering, or related fields
Preferred Experience/Skills:
• 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.
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:
Key Qualifications:
• Strong preference for some focus or experience in classification, information retrieval, natural language
processing, machine learning or related sub-fields
• 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.
We will also consider the candidates with following skills for a different task level of the same project:
• Native Australian English dialect
• Strong Computational skills, including basic programming (Python), sed, bash, command line, git
• Linguistic or computational linguistic studies to Honours level or higher, including Phonetics and Phonology
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