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Amazon · Seattle, WA

# Machine Learning Data Linguist, Alexa AI

US, WA, Seattle Data & Analytics 

Listed on Amazon’s official careers site. Posted September 18, 2026. Check that it is still open and apply there.
[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10553877/machine-learning-data-linguist-alexa-ai)

[OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Machine Learning Data Linguist, Alexa AI

## Job description

Amazon is seeking a Machine Learning Data Linguist to join our Alexa AI team. This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables.

The ML Data Linguist must have a passion for data, efficiency, accuracy, and should be capable of:

- Handling unique data analysis requests from a range of data customers

- Providing data quality expertise to other team members and coaching improvements

- Delivering high quality work in a fast-paced environment

- Working autonomously with minimum direction

- Building a thorough understanding of conventions and providing support to global sites

- Understanding changes to conventions deployed in response to customers’ requests and modifying workflows accordingly

- Contributing to process improvements to reduce handling time and improve output

- Improving software tools by identifying bugs and suggesting enhancements

- Diving deep into issues and implementing solutions independently

- Proactively addressing issues and problems

- Keeping up with changing project conventions and priorities

### Key job responsibilities

- Label, generate, and ensure the quality of datasets.

- Work closely with ML Data Linguists and scientists to understand data ambiguities and resolve issues in annotation guidelines.

- Conduct in-depth qualitative error trend analysis, developing action plans to enhance data quality.

- Collaborate with ML Data Linguists, scientists, and Ops Managers to drive innovation in processes, tracking, and annotation workflows.

### A day in the life

Most days are spent collecting requirements from customers, collaborating with peers and stakeholders to complete deliverables, and recommending process improvements.

### About the team

The work that we do is confidential, but we are a highly collaborative team who obsess over our internal and external customers.

## At a glance
- Posted by the employer: Sep 18, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 11, 2026
- Listed for: 23 days
- Location: US, WA, Seattle[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10553877/machine-learning-data-linguist-alexa-ai)

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