AmazonCatalog Specialist, RCX
Amazon is hiring a Catalog Specialist, RCX in Bellevue, United States. It pays $22-$31/hr and Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include SageMaker, AI data labeling and data annotation.
- Level classifies it as a mid-level role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Support machine learning models and data science algorithms through data annotation and process optimization for catalog operations.
WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get the most value out of Amazon’s products; improve the customer returns experience; and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems.
Amazon is Earth’s most customer-centric company and in WW R&R, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns, ReCommerce & Sustainability team!
We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In this role, you will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development – all helping to delight our customers through new experiences throughout their Amazon shopping journey.
Key job responsibilities
• Work closely with our product, technology, and science teams to support Machine Learning (ML) models
• Perform data annotation required to train and evaluate ML models effectively
• Support data scientists in the development of classification algorithms
• Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines
• Maintain high-quality standards for annotated data to optimize model performance
• Continuously evaluate and improve annotation processes to enhance efficiency and accuracy
• Strong analytical skills and the ability to deep-dive on complex problems
• Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills
Basic qualifications
- Bachelor's degree
- Speak, write, and read fluently in English
- Experience with Microsoft Office products and applications
- 1+ years of proven experience in data annotation and labeling for ML model training and evaluation.
Preferred qualifications
- Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup, or experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint)
- Experience working on the MTurk or Sagemaker platform for data annotation tasks
- Familiarity with Amazon's product and category ecosystem
- Previous exposure to machine learning concepts and algorithms
- Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
USA, WA, Bellevue - 21.58 - 30.72 USD hourly
How we rate this
Catalog Specialist, RCX at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you keep labeling instructions consistent across a large annotation team?
- Tell me about a project where data annotation was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where classification was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Data Labeling, Data Annotation, Machine learning, Classification, and Data Science. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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