Amazon ML Data Linguist - AWS AI 

United States, New Hampshire 

37668837

Amazon Web Services (AWS) is looking for a data associate to help with annotations 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.Key job responsibilities
* Build a thorough understanding of data collection and annotation guidelines and various annotation tools.
* Annotate text data, identifying linguistic categories based on detailed annotation and adhering to guidelines.
* Perform annotation related tasks; you participate in data generation, collection and quality assurance tasks
* Collaborate with other ML Data Linguists to resolve data ambiguities and annotation disagreements.
* Dive deep into the data to perform qualitative error trend analysis, and devise action plan to improve data quality.
* Provide feedback to Language Engineers and Scientists on tool improvements and annotation processes.
* 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.
* Support and consult in pres-creening interviews for Data Associates.
* Collaborate with MLDL (level 3), LEs and TM to innovate processes, tracker automations, and workflows.
* Assist LEs in communication with vendor to provide detailed feedback to vendor annotators.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
Hybrid Work

* Bachelor's degree in a relevant field, such as Linguistics, Communications, a foreign language, or other language or data-related disciplines.
* At least 6 months of experience with natural language data labeling, data annotation, linguistic annotation or other forms of data markup, and/or teaching experience.
* Proficient in Spanish, French, German, Portuguese, Japanese, Korean, or another foreign language.
* Experience identifying linguistic ambiguity and annotation inaccuracies in data.
* Ability to strictly adhere to annotation guidelines and identify basic parts of speech.
* Strong organizational skills and detail-oriented
* Ability to communicate well and actively listen 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.
* Willingness to support several projects at one time, and to accept re-prioritization as necessary.

* Master's degree in a relevant field, such as Linguistics, Communications, a foreign language, or other language or data-related disciplines is a plus.
* Familiarity with common text processing tools.
* Passion for language, linguistics, human language technology and AI.
* Familiarity with json, yaml, xml or other forms of text markup.
* Ability to work in different operating systems (Windows, MacOS, or Linux).
* Ability to navigate a Unix terminal and use common command line tools
* Knowledge of Python, Java or any other scripting language is a plus.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.