Associate, ML Data Operations, GO-AI Operations
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Data Analysis
In short
Responsibilities
- Perform precise and consistent annotations across image, video, and text data types, including object detection, semantic segmentation, object tracking, and open-text evaluation.
- Proactively identify and correct errors to ensure high data integrity for model training.
- Use strong judgment to address ambiguous situations and propose solutions for process improvement.
- Quickly learn and efficiently utilize specialized annotation tools and platforms.
- Scale and transition between multiple programs based on business needs.
Requirements
- Bachelor's degree
- Perform precise annotation tasks adhering to accuracy and productivity goals.
- Mastery of techniques like object detection, semantic segmentation, object tracking, and open-text evaluation.
- Ability to make sound judgments using provided resources.
Desired Qualifications
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.
Benefits
- Potential to transition to a full-time employee role.
- Rotational shifts in a 24x7 environment.
- 9-hour shifts including breaks.
- Night shift allowance provided as per applicable Amazon’s work policy.
- Rotational two-consecutive day off (5-day working week).
Skills
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.\n\nTogether, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers:…
Company
AmazonJob Posted
2 weeks ago
Employment Type
Contract
Work mode
Remote
Hours per week
40.5
Experience Level
Associate
Locations
Chennai, India
Qualification
Applicants
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