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Amazon ML Data Associate II AWS Bedrock India, Karnataka, Bengaluru 786203303
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Key job responsibilities
• Maintain and follow strict confidentiality as customer privacy is our biggest tenet
• Work with a range of different types of data including but not limited to text, speech, image, audio and video
• Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information
• 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 - we believe every ground-breaking change starts with a small idea!About the team
Diverse Experiences
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.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
• 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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