Machine Learning Data Associate- Remote, Customer Engagement Technology
Job ID: 3092106 | Amazon.com Services LLC - A57
Application deadline: Dec 10, 2025
Interested in working with data and machine learning? Do you have a passion for customer service? Join our Customer Engagement Technologies automation team in developing language solutions that power self-service and automation across Amazon. We are seeking an ML Data Associate to join our remote team who will independently drive data initiatives critical to measuring model accuracy and developing automation features. A successful candidate will own end-to-end data workflows, coordinate cross-functionally on mid-sized projects, and mentor peers while identifying process improvements. This role offers the opportunity to make measurable impact through high-quality projects that directly influence our ML model performance and automation capabilities.
Key Job Responsibilities

Effectively represent data based customer and associate behavior to improve automation workflows
Participate in automation solutioning between cross functional teams and validate the launch of proposed solutions
Deliver results according to project schedules and quality while maintaining SLAs on velocity, productivity and quality
Independently own and drive small to mid-sized data workstreams with minimal guidance, ensuring clear documentation and measurable outcomes
Lead cross-functional coordination between Operations, Policy, and Tech teams to execute data initiatives effectively
Analyze and interpret metrics to shape project decisions, while proactively monitoring quality standards and customer feedback
Manage data tools independently, identifying improvement opportunities and suggesting process enhancements
Mentor peers and champion process improvements within the team's scope of work
Take full ownership of project outcomes while maintaining strong documentation standards
Drive regular updates and maintain clear communication channels with stakeholders
Proactively identify and implement local process improvements to enhance team efficiency

Basic Qualifications

Fluency in English Language
Experience working with Excel
Experience working in complex and frequently ambiguous spaces; making sense of customer need and being able to frame that as clear requirements
Excellent communication skills, both written and verbal

Preferred Qualifications

Fluency in French
Bachelor’s degree
Professional experience in customer service, data annotation, language processing, or related fields
Practical knowledge of data processing needs and trade-offs
Able to work under tight timelines with minimal supervision
Hands‑on, "roll up your sleeves" mindset

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.
Our compensation reflects the cost of labor across several US geographic markets. The Colorado base pay for this position ranges from $44,900/year up to $78,600/year. The National base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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