Language Data Scientist III , AWS Q for Business

Amazon Q Business is an AI assistant powered by generative technology. It provides capabilities such as answering queries summarizing information generating content and executing tasks based on enterprise data.

We are seeking a Language Data Scientist III to join our data team. Our mission is to engineer high-quality datasets that are essential to the success of Amazon Q Business. From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond our work ensures that Generative AI is enterprise-ready safe and effective for users. As part of our diverse teamincluding language engineers linguists data scientists and program managersyou will collaborate closely with science engineering and product teams. We are driven by customer obsession and a commitment to excellence. In this role you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generative AI techniques to evaluate how well our data represents human language and conduct experiments to measure downstream interactions.

Agentic AI drives innovation at the forefront of artificial intelligence enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners applied scientists software engineers and solution architects who work backwards from customer needs to create groundbreaking technologies. If youre passionate about shaping the future of AI while making a meaningful impact for customers worldwide we want to hear from you.



Key job responsibilities
* oversee end-to-end evaluation data pipeline and propose evaluation metrics and methods
* incorporate your knowledge of linguistic fundamentals NLU NLP to the data pipeline
* process and analyze diverse media formats including audio recordings video images and text
* perform statistical analysis of the data
* write intuitive data generation & annotation guidelines
* write advanced and nuanced prompts to optimize LLM outputs
* write python scripts for data wrangling
* automate repetitive workflows and improve existing processes
* perform background research and vet available public datasets on topics such as long text retrieval text generation summarization question-answering and reasoning
* leverage and integrate AWS services to optimize data collection workflows
* collaborate with scientists engineers and product managers in defining data quality metrics and guidelines.
* lead dive deep sessions with data annotators

About the team

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were 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 that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.




- 5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 4 years of data scientist experience
- Excellent knowledge of semantics pragmatics conversation analysis and/or discourse analysis
- Experience designing and executing data collection projects including guidelines labelset and annotation workflow development
- Experience developing and evaluating data annotation and data quality metrics

- 2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143300/year in our lowest geographic market up to $247600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.