AWS Data Annotation Specialist
1 week ago
As a member of the AWS Bedrock team, you will be responsible for delivering high-quality training data to ensure the best performance of the AWS machine learning systems. Your primary focus will be on text-based data annotation, writing for ML model training, and toxic content evaluation. You will work closely with a range of different types of data, including text, speech, image, audio, and video.
Key Responsibilities
Maintain and follow strict confidentiality as customer privacy is our biggest tenet.
Deliver high-quality labelled data, using guidelines provided to meet our KPIs, and using in-house tools and software.
Creative thinking and excellent written communication skills.
Work on testing for workflow launches if required.
Report issues with tools and software as and when they occur.
Show Ownership and initiative when providing feedback for improvements to existing tooling that can increase the amount and quality of the data we process.
About the Team
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
BASIC QUALIFICATIONS
Bachelor's degree in a relevant field such as Journalism, Creative Writing, Linguistics.
Experience identifying linguistic ambiguity and annotation inaccuracies in data.
Ability to strictly adhere to annotation guidelines and identify basic parts of speech.
PREFERRED QUALIFICATIONS
Master's degree in a relevant field such as creative writing, journalism, linguistics etc.
Passion for language, linguistics, human language technology and AI.
Familiarity with json, yaml, xml or other forms of text markup.
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