3 days ago

Associate, ML Data Operations

Amazon

Hybrid
Full Time
₹400,000
Hybrid

Job Overview

Job TitleAssociate, ML Data Operations
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary₹400,000
LocationHybrid

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Job Description

Description

This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies & Robotics teams by enabling automation, which includes real-time & offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy.

An Associate, ML Data Operations in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate, ML Data Operations performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction.

Key Job Responsibilities

  • The Associate, ML Data Operations has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices.
  • Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours’ time per day is spent to answer the videos.
  • Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair & sufficient lighting (2) workspace / work related data shouldn’t be accessed by anyone other than employee.

The Candidate Is Expected To Demonstrate

  • Willingness to work in Non-tech role for contract duration of 6 months.
  • Ability to audit image/video/text based Jobs.
  • Ability to identify details from blurry, less sharp videos and provide correct response.
  • Requires high level of attention & focus on screen.
  • Willingness to work on incremental targets/goals on quality & productivity.
  • Fast Pace of implementation & consistent performance.
  • Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player.
  • Readiness to come to office for few days (when required, applicable for associates working from home).
  • Willing to switch ON laptop camera while on virtual meetings.

A Day in the Life

Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon’s work policy.

Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.

About The Team

Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching.

Basic Qualifications

  • Bachelor's degree.

Preferred Qualifications

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

Key Skills/Competency

  • Data Auditing
  • Video Analysis
  • Attention to Detail
  • Quality Assurance
  • Operational Efficiency
  • Inventory Management
  • Human Judgement
  • Rotational Shifts
  • Team Collaboration
  • Data Annotation

Tags:

Associate, ML Data Operations
Data Auditor
Operations Associate
Data Auditing
Video Analysis
Quality Assurance
Inventory Management
Operational Support
Accuracy
Productivity
Human Judgment
Process Improvement
Rotational Shifts
ML Data
AI Operations
Data Annotation
Automation Support
Robotics Integration
Visual Auditing
Data Verification
Image Processing
Tool Utilization
Workflow Management

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How to Get Hired at Amazon

  • Research Amazon's culture: Study their mission, values (Leadership Principles), recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your resume to highlight experience in data auditing, operational roles, and exceptional attention to detail. Use keywords from the Associate, ML Data Operations job description.
  • Showcase operational acumen: Prepare examples demonstrating your ability to maintain high accuracy and productivity under pressure in a fast-paced, high-volume environment.
  • Practice behavioral interviews: Amazon heavily uses the STAR method to assess candidates against its Leadership Principles. Prepare stories highlighting problem-solving, teamwork, and adaptability relevant to operational roles.
  • Understand ML Operations context: Although a non-technical role, familiarize yourself with how human input improves machine learning models and automation in logistics environments.

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