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Content Risk Analyst, ASCI

Amazon

Content Risk Analyst, ASCI

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1w ago

Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers’ experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. In this role, you will work on essential backend operations that help maintain the quality and accuracy of our AI initiatives. This role involves basic data tasks, such as creating, reviewing, and managing test data sets. The ideal candidate is detail-oriented, willing to learn, and ready to contribute to the smooth operation of our team’s day-to-day tasks.

  • Key job responsibilities
  • Test Data creation : Create test data sets and enable testing
  • Data Handling: Work on large volumes of data with a focus on accuracy and ease of retrieval for use in AI-related activities.
  • Process Metrics : Ensure high quality and high volume productivity

Basic Qualifications

  • Bachelor's degree
  • Familiarity with AI-assisted classification tools and LLM-based validation frameworks to enhance accuracy and efficiency in product compliance determinations is a plus.
  • Exposure to or willingness to adopt AI/ML-powered automation pipelines, small-scale automation tools, and agentic AI workflows to streamline classification, and issue resolution processes.
  • Effective written and verbal communication skills to engage with internal stakeholders

Preferred Qualifications

  • Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint)
  • • Attention to Detail: Strong attention to detail is crucial, as the work involves accurately labeling and annotating data, which directly impacts the quality of AI models.
  • • Familiarity with Data: Basic understanding of data types and formats, and experience working with data in any form is advantageous.

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