Associate, ML Data Operations, GO-AI Operations
Amazon · Chennai, Tamil Nadu, India
- Hybrid
- Full-time
- $30,000 / year
- Chennai, Tamil Nadu, India
Job highlights
- Audit videos to ensure fulfillment center accuracy.
- Work with images, video, and text data.
- Meet strict quality and productivity goals.
- Flexible work hours in a 24/7 environment.
- Support automation in Amazon Robotics centers.
About the role
Job Summary
The Associate ML Data Operations role at Amazon Robotics Fulfillment centers is a key operational position focused on ensuring inventory accuracy and stow quality through meticulous video and image auditing. This role supports Amazon Internal Fulfillment Technologies & Robotics teams by enabling automation through precise data analysis.
Key Responsibilities
- Watch and analyze hundreds of videos per shift to audit stowing actions at fulfillment centers.
- Use human judgment combined with tools to verify and mark product locations with high accuracy.
- Adhere to strict accuracy (quality) and productivity (speed) goals, spending 6.8 to 7 hours daily on video audits.
- Maintain a dedicated and distraction-free workspace if working remotely, ensuring data security.
- Follow pre-defined break schedules within a 9-hour shift, which may include rotational shifts and night shifts with applicable allowances.
- Be prepared to come to the office occasionally, even if primarily working from home.
- Enable laptop camera during virtual meetings.
Candidate Profile
- Willingness to work in a non-tech role for a 6-month contract duration.
- Ability to audit image, video, and text-based jobs.
- Keen eye for detail, capable of identifying information from blurry or less sharp videos.
- High level of attention and focus required for on-screen tasks.
- Adaptability to work towards incremental targets and goals for quality and productivity.
- Capacity for fast implementation and consistent performance.
- Flexibility to work in rotational shifts, including night shifts, and collaborate effectively in remote teams.
- Exceptional team player with readiness to work with distributed teams.
Work Environment
- Operates in a 24x7 environment with rotational shifts, typically 9 hours per shift.
- Weekly offs are rotational and consecutive (5-day work week with 2 days off).
- Shift timings are subject to change as per business requirements.
About The Team
The Data Auditing Operations team provides essential human support to Amazon Fulfillment facilities. By visually auditing videos and images of products being stored, the team ensures stow quality and enhances the effectiveness of automated processes. Associates' work directly contributes to maintaining inventory accuracy and improving the overall efficiency of fulfillment centers.
Basic Qualifications
- Bachelor's degree.
Preferred Qualifications
- Ability to work a flexible schedule, including weekends, nights, and holidays.
Key skills/competency
- Data Auditing
- Video Analysis
- Image Analysis
- Accuracy
- Productivity
- Attention to Detail
- Fulfillment Centers
- Robotics
- Inventory Management
- Quality Assurance
Skills & topics
- Data Operations
- ML Data
- Amazon Robotics
- Fulfillment Center
- Video Audit
- Image Audit
- Inventory Accuracy
- Quality Assurance
- Operations
- Associate
How to get hired
- Tailor your resume: Highlight attention to detail, accuracy, and ability to work with visual data.
- Showcase adaptability: Emphasize willingness to work flexible/rotational shifts and non-tech roles.
- Demonstrate focus: Prepare examples of maintaining concentration on detailed tasks.
- Understand the role: Clearly articulate how your skills support inventory accuracy and automation.
- Prepare for assessment: Be ready for tests on visual identification and accuracy.
Technical preparation
Practice identifying objects in low-quality images.,Familiarize yourself with basic video analysis tools.,Develop speed and accuracy in data annotation.,Understand inventory management concepts.
Behavioral questions
Describe a time you maintained focus on tedious tasks.,How do you handle repetitive work with accuracy?,Tell me about adapting to changing work schedules.,How do you ensure quality under pressure?
Frequently asked questions
- What are the typical working hours for an Associate ML Data Operations at Amazon?
- Associates typically work a 9-hour shift within a 24/7 operational environment. This includes rotational shifts, which can change every 3-4 months and may include night shifts. Rotational two-consecutive day offs are standard, making it a 5-day work week.
- Is this a remote position, and are there any specific requirements for remote work?
- Yes, this role can be remote. If working from home, you'll need a dedicated workspace with a table, chair, and sufficient lighting. Crucially, ensure that no one other than yourself accesses work-related data or the workspace.
- What is the contract duration for the Associate ML Data Operations role at Amazon?
- The contract duration for this role is for 6 months. It is specifically looking for individuals willing to commit to this non-tech role for the specified period.
- What skills are most important for an Associate ML Data Operations at Amazon?
- Key skills include a high level of attention and focus, the ability to identify details from potentially blurry video/images, accuracy, speed, and a willingness to work in a non-tech, operational role with rotational shifts.
- Will I be required to come to the office for the Associate ML Data Operations role?
- Yes, even if you are working from home, you may be required to come into the office for a few days when the business needs it. This is applicable for associates working from home.
- What is the primary goal of the Associate ML Data Operations team at Amazon?
- The primary goal is to enable automation at Amazon Fulfillment centers by providing accurate data auditing services. This directly supports maintaining inventory accuracy and stow quality within the fulfillment centers.
- What qualifications are needed for the Associate ML Data Operations role?
- A Bachelor's degree is a basic qualification. Preferred qualifications include the ability to work flexible schedules, including weekends and nights, and a strong aptitude for detailed visual analysis.