Associate, ML Data Operations, GO-AI Operations
Teknik, data och digitalt · Data, AI och analys · Dataanalys · Maskininlärning
I korthet
Amazon's GO-AI Operations team is seeking an Associate for ML Data Operations in Hyderabad. This 6-month contract role involves auditing videos and images to ensure inventory accuracy and stow quality in fulfillment centers. The position is remote and requires high attention to detail and consistent performance.
Ansvarsområden
- Watch videos of stowing actions at fulfillment centers and provide responses.
- Verify or mark product locations using a tool with high accuracy and speed.
- Perform precise and thorough video/image audits to aid defect reduction.
- Work in a 24x7 environment with rotational shifts.
- Adhere to goals on accuracy, speed, and acceptable practices.
- Maintain a dedicated workspace for remote work.
- Participate in virtual meetings with laptop camera ON.
- Support fulfillment centers in maintaining inventory accuracy.
Krav
- Willingness to work in a non-tech role for a contract duration of 6 months.
- Ability to audit image/video/text based jobs.
- Ability to identify details from blurry or less sharp videos.
- High level of attention and focus on screen.
- Willingness to work on incremental targets/goals on quality & productivity.
- Fast pace of implementation and consistent performance.
- Ability to work in rotational shifts (including night shifts).
- Ability to work with remote teams and be a team player.
- Readiness to come to the office for a few days when required (for remote workers).
- Willing to switch ON laptop camera during virtual meetings.
Önskade kvalifikationer
- Bachelor's degree.
- Ability to work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.
Förmåner
- Night shift allowance will be provided as per applicable Amazon's work policy (for night shifts).
- Rotational two-consecutive day off (5-day working week).
#ML Data Operations#GO-AI Operations#Data Auditing#Fulfillment Centers#Robotics#Inventory Accuracy#Video Auditing#Image Auditing#Quality Control#Productivity