Machine Learning Data Associate- Remote, Customer Engagement Technology
Job Description
Application deadline: Dec 10, 2025Interested 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
Locations
- United States, Virtual, Virtual, United States
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
75,000 - 105,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - Experience working with Excelintermediate
- - Experience working in complex and frequently ambiguous spaces; making sense of customer need and being able to frame that as clear requirementsintermediate
Required Qualifications
- - Fluency in English Language (experience)
- - Experience working with Excel (experience)
- - Experience working in complex and frequently ambiguous spaces; making sense of customer need and being able to frame that as clear requirements (experience)
- - Excellent communication skills, both written and verbal (experience)
Preferred Qualifications
- - Fluency in French (experience)
- - Bachelor’s degree (degree)
- - Professional experience in customer service, data annotation, language processing, or related fields (experience)
- - Practical knowledge of data processing needs and trade-offs (experience)
- - Able to work under tight timelines with minimal supervision (experience)
- - Hands-on, “roll up your sleeves” mindset (experience)
- Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
- 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 offered, 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. (experience)
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
Documents
Tags & Categories
Machine Learning Data Associate- Remote, Customer Engagement Technology
Job Description
Application deadline: Dec 10, 2025Interested 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
Locations
- United States, Virtual, Virtual, United States
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
75,000 - 105,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - Experience working with Excelintermediate
- - Experience working in complex and frequently ambiguous spaces; making sense of customer need and being able to frame that as clear requirementsintermediate
Required Qualifications
- - Fluency in English Language (experience)
- - Experience working with Excel (experience)
- - Experience working in complex and frequently ambiguous spaces; making sense of customer need and being able to frame that as clear requirements (experience)
- - Excellent communication skills, both written and verbal (experience)
Preferred Qualifications
- - Fluency in French (experience)
- - Bachelor’s degree (degree)
- - Professional experience in customer service, data annotation, language processing, or related fields (experience)
- - Practical knowledge of data processing needs and trade-offs (experience)
- - Able to work under tight timelines with minimal supervision (experience)
- - Hands-on, “roll up your sleeves” mindset (experience)
- Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
- 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 offered, 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. (experience)
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