Associate, ML Data Operations, GO-AI Operations

Teknik, data och digitalt · Data, AI och analys · Dataanalys · Maskininlärning

I korthet

Amazon is hiring an Associate for ML Data Operations within GO-AI Operations, focusing on auditing video and image data to ensure inventory accuracy and stow quality in fulfillment centers. This hybrid, contract role based in Bengaluru requires meticulous attention to detail and the ability to work with visual data under general supervision.

Ansvarsområden

  • Watch and audit hundreds of videos per shift to identify product locations and ensure accuracy.
  • Perform precise and thorough video/image audits with high accuracy and speed.
  • Aid defect reduction by maintaining fulfillment center stow quality.
  • Work in a 24x7 environment with rotational 9-hour shifts, including potential night shifts.
  • Maintain a dedicated workspace if working from home, ensuring data privacy.

Krav

  • Willingness to work in a non-tech role for a 6-month contract.
  • Ability to audit image/video/text-based jobs.
  • Ability to identify details from blurry or less sharp videos with high attention and focus.
  • Willingness to work on incremental targets for quality and productivity.
  • Fast pace of implementation and consistent performance.
  • Ability to work in rotational shifts, remote teams, and be an exceptionally good team player.
  • Readiness to come to the office for a few days when required (for remote associates).
  • Willing to switch on laptop camera during virtual meetings.

Önskade kvalifikationer

  • Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.

Förmåner

  • Night shift allowance as per applicable Amazon's work policy.
  • Rotational two-consecutive day off (5-day working week).
#ML Data Operations#GO-AI Operations#Automation#Robotics Fulfillment centers#Data Auditing#Inventory Accuracy#Stow Quality#Video Audits#Image Audits#Rotational Shifts#Remote Work#Team Player
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Företag

Amazon

Publicerade jobb

för 2 dagar sedan

Anställningstyp

Kontrakt

Arbetsform

Hybrid

Timmar per vecka

40.5

Erfarenhetsnivå

Medarbetare

Platser

Bengaluru, India

Kvalifikation

Kandidatexamen

Sökande

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