Digital Associate, Ring Data Engineering Services, Operations, IT, & Support Engineering
Technology, Data & Digital · IT Infrastructure & Security · Data Engineering
I korthet
As a Digital Associate with Ring Data Engineering Services, you will create high-quality written content for videos and images and perform data labeling for audio, image, and video files. This role involves using internal tools, maintaining quality standards, and adhering to confidentiality requirements to support machine learning data processes.
Ansvarsområden
- Performs simple annotation-related tasks in a narrow ML data process area (e.g. audio, image, and/or video-file).
- Uses internal tools and software provided by team.
- May participate in data collection activities when scripts and instructions are provided.
- Adheres to compliance and confidentiality requirements.
- Apply strong language skills, grammar knowledge, and linguistic rules to ensure the generated text adheres to proper grammar, syntax, and appropriate language usage.
- Maintaining high internal quality of the processes by performing quality audits/verification.
- Meets daily productivity and quality targets.
- Tracks queries related to annotation/data collection and share them with the relevant stakeholders to help solve them.
- Track daily task completion status using recommended tools and provide individual status reports.
- Adhere to confidentiality & compliance requirements to ensure zero risk to customer data and Amazon.
- Helps test new SOPs and ML data tools.
- Providing specific & timely feedback to streamline existing processes and help the team achieve more consistent results with high quality.
Krav
- Bachelor's degree
- Speak, write, and read fluently in English
Önskade kvalifikationer
- Knowledge of Microsoft Office products and applications
Förmåner
- Inclusive culture empowers Amazonians to deliver the best results for our customers.
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.
#Digital Associate#Data Engineering#Operations#IT#Support Engineering#Content Creation#Data Labeling#Machine Learning Data