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ML Data Associate, AGI-Leapfrog

Amazon

ML Data Associate, AGI-Leapfrog

Amazon

Chennai, TN, IND

·

On-site

·

Full-time

·

1w ago

  • Work on defined set of instructions to collect ground truth data for the product development.
  • Perform execution and report results accurately.
  • Understand procedures and guidelines for new tasks / releases
  • Perform repetitive exercises based on the dynamic instructions without compromising on quality
  • Use software tools for data capture and comply with the processes of the organization on a daily basis
  • Be comfortable with capturing results, communicating and escalating failures and providing individual status reports and adhering to Productivity and Quality base lines.
  • Raising all failures/doubts related to the execution in the portal and closing the same as per the SLA’s
  • Own the daily targets against internal and external dependencies.

Basic Qualifications

  • Bachelor's degree
  • Speak, write, and read fluently in English

Preferred Qualifications

  • Knowledge of Microsoft Office products and applications

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

Intern

L2 · Revenue Operations L2

0 reports

$163,421

total / year

Base

$65,368

Stock

$81,711

Bonus

$16,342

$114,395

$212,447

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge