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Amazon Sr. ML Data Associate, Information Data Operations in Ca, California

Description

Alexa is Amazon’s groundbreaking voice service designed for voice interactions. We believe voice is the most natural interface for interacting with technology across many domains. We are looking for a Sr. Machine Learning Data Associate to join our Information Data Operations (IDO) team.

Key job responsibilities

This role focuses on language data, primarily in the areas of editing, writing, and general data analysis deliverables. The Sr. Machine Learning Data Associate must be capable of:

  • Editing high-quality and engaging copy

  • Understanding how people use language to convey meaning

  • Delivering high-quality work under tight deadlines

  • Translating established guidelines into daily work practices

  • Working autonomously with minimal direction

  • Handling unique data analysis requests from a range of customers

The ideal Sr. Machine Learning Data Associate:

  • Possesses strong copy-editing and writing skills

  • Is curious to know how Alexa can answer so many questions

  • Exhibits extreme attention to detail

  • Utilizes excellent communication and organizational skills

  • Demonstrates willingness to support several projects at one time

  • Adapts quickly to keep up with changing project conventions and new projects

A day in the life

As a Sr. Machine Learning Data Associate, you are responsible for editing, writing, researching, and delivering high-quality data for internal and external customers. You will learn and master workflow guidelines to hit deadlines in a fast-paced environment.

About the team

Information Data Operations (IDO) is a team of Machine Learning Data Associates and support staff who help make Alexa smarter and drive efficiencies for stakeholders. We do this by increasing the number of questions Alexa can answer, by improving the overall quality of the answers Alexa serves, and by providing stakeholders high-quality data to make informed, data-driven decisions.

We are open to hiring candidates to work out of one of the following locations:

Ca, CA, USA | Los Angeles, CA, USA | Santa Barbara, CA, USA

Basic Qualifications

  • Bachelor's degree

  • 1 year of work experience

Preferred Qualifications

  • Bachelor’s degree in English, Journalism, Communication, Linguistics or equivalent practical experience

  • Strong analytical, problem-solving, and critical-thinking skills

  • Proven track record of taking ownership and successfully delivering results in a fast-paced, dynamic environment

  • High attention to detail, including precise and effective communication

  • Proven ability to manage multiple, competing priorities simultaneously

  • History of teamwork and willingness to roll up one’s sleeves to get the job done

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $32,700/year in our lowest geographic market up to $70,000/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.

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