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ML Data Associate - Spanish, Information Data Operations

ENGINEERINGUK

Cambridge

On-site

GBP 25,000 - 35,000

Full time

3 days ago
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Job summary

Join a dynamic team as a Machine Learning Data Associate, where your editing and writing skills will help enhance a leading voice service. In this role, you will focus on language data, ensuring high-quality deliverables while working autonomously under tight deadlines. You will contribute to making a renowned voice service smarter by improving the quality of responses and providing valuable data insights. This position offers a unique opportunity to be part of a fast-paced environment that values curiosity and attention to detail. If you are passionate about language and technology, this is the perfect role for you.

Qualifications

  • Knowledge of Spanish at C1 level and 1 year of work experience.
  • Strong analytical and problem-solving skills with attention to detail.

Responsibilities

  • Editing, writing, and delivering high-quality data for internal and external customers.
  • Handling unique data analysis requests and adapting to changing project conventions.

Skills

Copy Editing
Writing Skills
Attention to Detail
Communication Skills
Organizational Skills
Problem-Solving
Critical Thinking

Education

Bachelor's degree in Journalism, English, Communication, Linguistics

Job description

ML Data Associate - Spanish, Information Data Operations

DESCRIPTION

Alexa is Amazon's 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 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 Machine Learning Data Associate must be capable of:

  1. Editing high-quality and engaging copy
  2. Understanding how people use language to convey meaning
  3. Delivering high-quality work under tight deadlines
  4. Translating established guidelines into daily work practices
  5. Working autonomously with minimal direction
  6. Handling unique data analysis requests from a range of customers

The ideal Machine Learning Data Associate:
  1. Possesses strong copy-editing and writing skills
  2. Is curious to know how Alexa can answer so many questions
  3. Exhibits high attention to detail
  4. Utilizes excellent communication and organizational skills
  5. Demonstrates willingness to support several projects at one time
  6. Adapts quickly to keep up with changing project conventions and new projects

A day in the life
As a 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.

BASIC QUALIFICATIONS
  1. Knowledge of Spanish at at least C1 level
  2. 1 year of work experience

PREFERRED QUALIFICATIONS
  1. Bachelor's degree in Journalism, English, Communication, Linguistics or equivalent practical experience
  2. Strong analytical, problem-solving, and critical-thinking skills
  3. Proven track record of taking ownership and successfully delivering results in a fast-paced, dynamic environment
  4. High attention to detail, including precise and effective communication
  5. Proven ability to manage multiple, competing priorities simultaneously
  6. History of teamwork and willingness to roll up one's sleeves to get the job done

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

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