Associate, ML Data Operations, GO-AI Operations
Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning
I korthet
Ansvarsområden
- Perform precise annotations across image, video, and text data, including object detection, semantic segmentation, and object tracking.
- Proactively identify and correct errors to ensure high data integrity for model training.
- Utilize strong judgment to resolve ambiguous situations and propose process improvements.
- Quickly learn and efficiently use specialized annotation tools and platforms.
- Adapt to new methodologies and scale between multiple programs based on business needs.
- Work in a 24x7 environment with rotational shifts of 9 hours.
- Adhere to goals for accuracy (quality) and speed (productivity).
Krav
- Bachelor's degree.
- Strong attention to detail.
- Ability to make sound judgments using provided resources.
- Ability to contribute to maintaining fulfillment center quality metrics through precise annotation.
Önskade kvalifikationer
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.
Förmåner
- Potential to transition to a full-time employee role.
- Night shift allowance provided as per applicable Amazon’s work policy.
- Rotational two-consecutive day off (5-day working week with 2 consecutive days off).
Färdigheter
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:…
Företag
AmazonPublicerade jobb
för 3 veckor sedan
Anställningstyp
Kontrakt
Arbetsform
Distans
Erfarenhetsnivå
Medarbetare
Platser
Chennai, India
Kvalifikation
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