Amazon India Limited

Machine Learning Data Associate

Amazon India Limited
Chennai
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 1 yearMin. 1 year

Job Description

ML Data Associate I

Description

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.

Key job responsibilities
• Perform annotation-related tasks across ML data processing areas including audio, image, video, and text files by following defined instructions to collect accurate ground truth data for product development
• Execute structured, detail-oriented exercises based on evolving instructions while maintaining high quality standards using internal software tools and data capture systems
• Apply thoughtful language skills, grammar knowledge, and linguistic awareness 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 collaborating in data collection activities using provided scripts and instructions
• Meet daily productivity and quality targets efficiently by tracking task completion status using recommended tools and providing individual status reports
• Maintain high internal quality of processes by performing thoughtful quality audits and verification activities
• Capture and report results accurately, communicate issues effectively, and escalate concerns promptly through established channels
• Raise all questions, concerns, and issues related to execution through the designated portal and resolve them according to defined SLAs, while sharing relevant information with stakeholders through effective collaboration
• Take trustworthy ownership of daily targets and manage dependencies, both internal and external, to ensure timely completion
• Adhere to confidentiality and compliance requirements to ensure trustworthy and responsible handling of customer data
• Help test new SOPs and ML data tools while providing specific and timely feedback to improve existing processes and support consistent, high-quality results
• Follow organizational processes on a daily basis while meeting established productivity and quality expectations

Job Requirement:
• Flexible for rotational schedule/work area, including weekends and/or holidays
• Familiarity with US culture is added advantage

Basic Qualifications

- Bachelor's degree
- Knowledge of Microsoft Office products and applications
- Knowledge of advanced English language skills at CEFR level B2 (Intermediate) or C1 (Advanced)

Preferred Qualifications

- Minimum 1+ years of experience in ML Data operations

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job role

Work location
Work locationChennai
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 1 year

About company

Name
Name Amazon India Limited
Job posted by Amazon India Limited

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You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

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