ML Data Associate I at Amazon SZ South 3 GmbH

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

08 Jun, 26

Salary

0.0

Posted On

10 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Annotation, Audio Processing, Image Processing, Video Processing, Text Processing, Quality Assurance, Data Collection, Grammar, Syntax, Compliance, Productivity Tracking, Quality Audits, Issue Reporting, Process Improvement, Microsoft Office

Industry

Software Development

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 [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.

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Responsibilities

The primary responsibilities involve performing annotation tasks across various ML data types (audio, image, video, text) following defined instructions to gather accurate ground truth data. This includes executing detail-oriented exercises, ensuring high quality, meeting daily productivity targets, and performing quality audits.