Associate, ML Data Operations, GO-AI Operations
Technology, Data & Digital · Data, AI & Analytics · Data Science · Data Analysis
In short
This is a contract role for an Associate, ML Data Operations based in Hyderabad, India, working remotely. The role involves auditing videos and images from fulfillment centers to ensure inventory accuracy and stow quality. A Bachelor's degree is required, and the position is operational with a focus on precision and speed.
Responsibilities
- Watch and audit hundreds of videos/images of stowing actions in a shift.
- Verify or mark product locations with high accuracy and speed.
- Provide responses based on goals for accuracy, productivity, and best practices.
- Adhere to pre-defined break slots, ensuring 6.8 to 7 hours of active work per day.
- Maintain a dedicated workspace with sufficient lighting if working from home.
- Ensure workspace and related data are accessed only by the employee.
- Work in a 24x7 environment with rotational shifts, including night shifts.
- Participate in virtual meetings with the laptop camera switched on.
Requirements
- Bachelor's degree.
- Willingness to work in a non-tech role for a contract duration of 6 months.
- Ability to audit image, video, and 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 for quality and productivity.
- Fast pace of implementation and consistent performance.
- Ability to work in rotational shifts (including night shifts).
- Exceptional team player.
- Readiness to come to the office for a few days when required (for remote associates).
- Ability to work flexible schedules/shifts/work areas, including weekends and holidays.
Desired Qualifications
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.
Benefits
- Night shift allowance will be provided as per applicable Amazon's work policy for night shifts.
#Data Operations#Machine Learning#Robotics#Fulfillment Centers#Inventory Accuracy#Video Auditing#Image Auditing#Quality Control#Amazon Robotics