Machine Learning Data Associate

- Bachelor's degree
- Speak, write, and read fluently in English
- Knowledge of Microsoft Office products and applications
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Experience and familiarity with US culture

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Excited about innovative technology and how it will be used in our everyday lives? Amazon is pushing the boundaries of what's possible in smart device technology, making the future closer than ever.

Our devices use AI and machine learning to seamlessly interact with people and spaces, helping customers protect and monitor what matters most. Our products are designed to help with a range of tasks like security, monitoring, and staying connected with family. We bring together advancements in artificial intelligence, computer vision, sensor technology, voice and edge computing to create solutions that are helpful, reliable, and convenient.

This is an 11-month Direct Contract role with Amazon, on Amazon's payroll.


Key job responsibilities
• Perform annotation-related tasks for ML data processing areas including audio, image, video, and text files by working on defined sets of instructions to collect accurate ground truth data for product development
• Execute repetitive exercises based on dynamic instructions while maintaining high quality standards and using internal software tools and data capture systems provided by the team
• Apply strong language skills, grammar knowledge, and linguistic rules to ensure generated text adheres to proper grammar, syntax, and appropriate language usage
• Understand and follow procedures, guidelines, and compliance requirements for new tasks and releases while participating in data collection activities when scripts and instructions are provided
• Meet daily productivity and quality targets by tracking task completion status using recommended tools and providing individual status reports
• Maintain high internal quality of processes by performing quality audits and verification activities
• Capture and report results accurately, communicate issues effectively, and escalate failures promptly through established channels
• Raise all failures, doubts, and queries related to execution in the portal and close them according to defined SLAs, while sharing relevant information with stakeholders to help solve issues
• Own daily targets and manage dependencies, both internal and external, to ensure timely completion
• Adhere to confidentiality and compliance requirements to ensure zero risk to customer data and Amazon
• Help test new SOPs and ML data tools while providing specific and timely feedback to streamline existing processes and help the team achieve consistent results with high quality
• Comply with organizational processes on a daily basis while adhering to established productivity and quality baselines