채용
Benefits & Perks
•Comprehensive health, dental, and vision insurance
•401(k) matching
•Flexible work arrangements
•Competitive salary and equity package
•Generous paid time off and holidays
•Parental leave
•Healthcare
•Flexible Hours
•Equity
•Parental Leave
Required Skills
Node.js
React
Python
Team overview
Interested in improving the technology and features powering Alexa? Come work with us! We are building the speech and language solutions behind Amazon Echo and other Alexa-enabled products and services.
AGI Data Services' (AGI-DS) mission is to provide high-quality data collection and labelled data for machine learning (ML) technologies. Our team is focused on ensuring the quality of data we provide meets our high quality bar.
Job Mission
We are seeking an experienced Quality Audit Manager to join our operations to develop, manage, and support our AGI-DS team with auditing and improving data quality.
- Key job responsibilities
- Manage job assignment on a day-to-day basis, monitoring performance on job or queue adherence, volume, and quality
- Support hiring and training of new Associates
- Ensure productivity is maximized through supervision, training, analysis, and feedback of performance data on a periodic basis
- Develop the work schedule for the week by balancing work across various workflows and/or navigating competing delivery priorities
- Liaise with Program Management and other global operations team leads to manage risks & propose mitigation strategies
- Track quality and utilization metrics
- File and track tickets, following up on blocks to productivity
- Provide regular, formal & informal feedback to direct reports
- Identify and help implement process-related improvement using methodologies such as Kaizen, six sigma, or lean
About the team
Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides speech recognition capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data labeling services to our customers, that enables them to build advanced ML models.
Basic Qualifications
- Knowledge of advanced English at CEFR level B2/C1
- Experience managing people and leading a team
- Bachelor Degree or advanced college education or experience in a Leadership or related position with management
Preferred Qualifications
- Experience in a people management or leadership role which includes coaching and developing others
- Experience working in fast paced environments, and managing workload even during times of stress, or escalated activity
- Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams
- Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
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
PublicAmazon.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
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L4
0 reports
$181,968
total / year
Base
-
Stock
-
Bonus
-
$154,672
$209,264
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
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