Job Description

Amazon Web Services (AWS) is seeking a Multilingual Data Linguist to assist with annotations and data analysis. As part of the Ai Data Team at AWS, the role involves delivering high-quality training data to optimize the performance of the AWS machine learning systems. The primary objective is to produce top-tier training data in the industry and enhance human language understanding and natural language processing for customer satisfaction.

Key Responsibilities:

• Develop a thorough understanding of data collection and annotation guidelines as well as various annotation tools.
• Annotate, generate, and quality-assure data, identifying linguistic categories based on detailed annotation and adhering to guidelines.
• Use generative AI to facilitate workflows or automate repetitive tasks.
• Monitor AI outputs for biases or ethical issues and adjust inputs to mitigate these risks.
• Collaborate with other ML Data Linguists to resolve data ambiguities and annotation disagreements.
• Contribute to process improvements to reduce handling time and improve resource output.
• Support and consult in pre-screening interviews for Data Associates.
• Collaborate with LEs, scientists, and Ops Manager to innovate processes, tracker automations, and workflows.

Basic Qualifications:

• Bachelor's degree in Linguistics, Philosophy, Cognitive Science, a foreign language, or Literature.
• Fluency in Vietnamese, Finnish, Swedish, Norwegian, or Polish.
• Experience with natural language data labeling, data annotation, linguistic annotation, or other forms of data markup, as well as experience leading a team of peers.
• Knowledge of different domains such as Finance, Health Care, and/or Insurance.
• Familiarity with json, yaml, XML, or other forms of text markup.
• Ability to navigate a Unix terminal and use common command line tools.
• Strong organizational and leadership skills and detail-oriented.
• Willingness to support several projects at one time, and to accept re-prioritization as necessary.

*This position will remain posted until filled. Applicants should apply via our internal or external career site.

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