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Description

Amazon Web Services (AWS) is looking for a data associate to help with annotations and data analysis. As part of the AI Data Team at AWS you will responsible for delivering high-quality training data to ensure the best performance of the AWS machine learning systems, including LLMs. 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 role focuses on English speech and language data, primarily in the areas of speech transcription, text annotation, and other general development of high quality language data deliverables. This role will be working closely with Language Engineers to create data sets for model training, benchmarking, and evaluation, including annotation of The successful candidate must have background in analyzing language data and a passion for efficiency and accuracy.

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.

Key job responsibilities

• Build a thorough understanding of data collection and annotation guidelines and various annotation tools.

• Annotate natural language data accurately within deadlines, adhering to guidelines.

• Participate in data generation, collection and quality assurance tasks

• Dive deep into the data to perform qualitative error trend analysis.

• Handle unique data collection and analysis requests for different NLP/NLU applications.

• Collaborate with other ML Data Linguists to resolve data ambiguities and annotation disagreements.

• Provide feedback to Language Engineers on annotation guidelines, tooling, and processes to drive improvements.

• Diving deep into issues and implement solutions independently

• Contribute to process improvements to reduce handling time and improve resource output.

• Develop a variety of language artifacts crucial for model development such as datasets for training and evaluation.

About the team

The AI Data Team at AWS is responsible for delivering high-quality annotated data and a variety of language artifacts to ensure the best performance of different AWS machine-learning language services. These ML-based language services enable customers to readily add intelligence to their business operations and AI applications to drive positive outcomes.

Basic Qualifications

• Bachelor's degree in Linguistics, Communication, Cognitive Science, or a related field, with background in phonetics, semantics, pragmatics, conversation analysis, and/or discourse analysis.

• At least 6 months of experience with natural language data labeling and other forms of data markup.

• Native or near-native proficiency in English (US) (CEFR C1 or above).

• Excellent communication, strong organizational skills with a keen eye for details.

• Comfortable working in a fast-paced, highly collaborative, and dynamic work environment.

• Willingness to support several projects at one time, and to accept re-prioritization as necessary.

Preferred Qualifications

• Ability to quickly learn new guidelines, technical concepts, and softwares.

• Familiarity with command line interfaces and basic Unix commands.

• Familiarity with common text processing tools.

• Working knowledge of a variety of file formats and mark up languages (e.g. JSON, XML, HTML).

• Familiarity with medical domain terminology and/or any experience working in a medical or healthcare setting.

• Passion for language, linguistics, human language technology and AI.

• Basic to intermediate scripting skills in one or more of the common programming languages (python, HTML, java script)

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.

Pursuant to the San Francisco 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.