ML Data Linguist (FTC), Kendra Data Team

Key Skills

Java Programming, Python Programming, C++, Scala Programming, Machine learning techniques, Natural Language Processing (NLP), Natural Language Understanding-NLU, Linguistic

Job Description

Amazon Web Services (AWS) is looking for a data associate to help with annotations, translations and data analysis.

As part of the AiData Team at AWS you will responsible for delivering high-quality training data to ensure the best performance of the AWS machine learning systems. Our goal is to produce the highest quality training data in the industry and to delight our customers by improving human language understanding and natural language processing.
This is a Fixed Term Contractor role. Initial Term is 12 months with a possibility of extension once onboarded.

Key job responsibilities

Responsibilities:

• Annotate text data, identifying linguistic categories based on detailed annotation guidelines.
• Translate and localize data in languages of competency.
• Research and apply industry-specific terminology.
• Ensure translated content conveys original meaning and intent.
• Proofread translated texts for grammar, spelling and punctuation accuracy.
• Apply quality control metrics and methodology.
• Provide feedback to Language Engineers and Scientists on tool improvements and annotation processes.

About the team

About Us

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

• Native speaker of French, German, Brazilian Portuguese or Japanese.
• Near-native speaker of English.
• Experience with translation, localization, data annotation, linguistic annotation and other forms of data markup.
• Experience with annotation guidelines
• Experience identifying basic parts of speech
• Experience identifying linguistic ambiguity and annotation inaccuracies in data.

PREFERRED QUALIFICATIONS

• Bachelor's degree in a relevant field, such as Linguistics, Communications, a foreign language, or other language or data-related disciplines.
• Depth and breadth of knowledge in linguistic theory and/or NLP/NLU/Machine Translation.
• Experience in translation and localization industry.
• Familiarity with common text processing tools.
• Ability to work in different operating systems (Windows, MacOS, or Linux).
• Ability to navigate a Unix terminal and use common command line tools.
• Excellent communication and organizational skills.
• Ability to work collaboratively with other data associates on a team.
• Ability to deliver high quality results under tight deadlines.
• Comfortable working in a fast paced, collaborative work environment.
• Passion for language, linguistics, human language technology and AI

Amazon is committed to a diverse and inclusive workforce. Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, 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.