Data Associate- Na.sp, Amazon Data Services
hace 9 meses
Speak, write, and read fluently in English
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Work with text, speech and other types of data and attach tags to the contents, at scale.
- Deliver high quality of labeled data, leveraging guidelines to meet specific key performance indicators, and
- using in-house tools and software.
- Report issues with tools and software to the development team when necessary.
- Provide feedback for improvements to existing tooling that can increase labeling throughput and quality.
- Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information.
Do you want to help change the way people interact with voice technology? Are you passionate about data and a problem-solver? Then we think you will like it here.
The Alexa Data Services (ADS) organization provides data creation, curation, and analytics services to help develop, test, and train the Alexa AI. We work closely with Amazon Machine Learning (ML) Science and modeling teams, providing the critical data they need to improve Alexa’s speech recognition and language understanding capabilities.
Come build the future of voice recognition for Alexa with us.
We are hiring Data Associates in our SJO team to undertake labeling functions such as transcription, annotation and dialogue evaluation on speech & text data to assess and improve Alexa’s performance.
As a Data Associate, you will work on speech and text data. We value your high attention to details and your ability to adapt to dynamic changes due to emerging business requirements. You are recognized as a role model for your proactivity in identifying issues with efficiency and accuracy.
Are you ready to embrace the challenge?
Summary of Responsibilities
- Work with text, speech and other types of data and attach tags to the contents, at scale.
- Deliver high quality of labeled data, leveraging guidelines to meet specific key performance indicators, and
using in-house tools and software.
- Report issues with tools and software to the development team when necessary.
- Provide feedback for improvements to existing tooling that can increase labeling throughput and quality.
- Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information.
Heredia, H, CRI
- Experience with Artificial Intelligence interaction, such as prompt generation and open AI's
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