Machine Learning Data Associate- Remote, Customer Engagement Technology

Amazon; Asti; Remoto; EUR 40.000 - 87.000; Tempo pieno

Descrizione del lavoro

A leading technology company seeks a Machine Learning Data Associate to join their remote Customer Engagement Technology team. The role involves driving data initiatives to measure model accuracy and enhance automation features. The ideal candidate will have strong communication skills, experience in data processing, and the ability to work independently under tight deadlines. This position offers a unique opportunity to make a significant impact in a dynamic environment.

Servizi

Full range of medical, financial, and other benefits

Competenze

• Experience working in complex and frequently ambiguous spaces.
• Able to work under tight timelines with minimal supervision.
• Practical knowledge of data processing needs and trade-offs.

Mansioni

• Effectively represent data based customer and associate behavior.
• Participate in automation solutioning between cross functional teams.
• Independently own and drive small to mid-sized data workstreams.
• Lead cross-functional coordination to execute data initiatives.
• Analyze and interpret metrics to shape project decisions.

Conoscenze

Fluency in English Language

Experience working with Excel

Excellent communication skills, both written and verbal

Formazione

Bachelor’s degree

Descrizione del lavoro

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.