채용
Benefits & Perks
•Flexible Hours
•Mentorship & Career Growth
•Flexible Hours
Required Skills
Arabic
English
Process Analysis
Problem-solving
Communication
At Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide.
Key job responsibilities
The candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices. Some of the key result areas include, but not limited to:
- Experience in managing process and operational escalations
- Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal
- Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations
- Communicate and take the lead role in identifying gaps in process areas and work with all stakeholders to resolve the gaps
- Be a SME for the process and a referral point for peers and junior team members
- Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources
- Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes
- Ability to perform deep dive in the process and come up with process improvement solutions
- Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (La Es) to support launches of new process and services
Basic Qualifications
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- Min. Graduation in Arabic with min. 3+ years of relevant work experience.
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- Excellent proficiency in both English and Arabic (written and verbal).
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- Demonstrated ability to analyze and interpret complex SOPs.
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- Strong problem-solving skills, with a proactive approach to identifying and implementing process improvements.
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- Excellent communication and interpersonal skills to effectively guide and mentor associates.
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- Ability to collaborate effectively with cross-functional teams.
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- Capability to thoroughly understand multiple SOPs and ensure adherence to established processes.
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- Identify opportunities for process improvement and SOP enhancements, and develop actionable implementation plans.
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- Lead and actively participate in process improvement initiatives.
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- Comfortable working in a fast-paced, highly collaborative, and dynamic environment.
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- Willingness to support multiple projects simultaneously and adapt to changing priorities.
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- Adaptable to change and able to perform effectively in a fast-paced environment.
Preferred Qualifications
- -Postgraduate degree in Arabic.
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- Experience with Artificial Intelligence interactions, such as prompt generation.
- 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.
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
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
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