Language Data Scientist II Amazon Q 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 II to join our data team. Our mission is to engineer highquality datasets that are essential to the success of Amazon Q Business. From human evaluations and Responsible AI safeguards to RetrievalAugmented Generation and beyond our work ensures that Generative AI is enterpriseready safe and effective for users.

As part of our diverse teamincluding language engineers linguists data scientists data engineers 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 datacentric 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.

Key job responsibilities
* oversee endtoend 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 questionanswering 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
Why 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.

Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (IoT) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Work/Life Balance
We value worklife 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 and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

2 years of data scientist experience
3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
Excellent knowledge of semantics pragmatics conversation analysis and/or discourse analysis
Experience designing and executing data collection projects including guidelines label set and annotation workflow development
Experience developing and evaluating data annotation and data quality metrics
Experience designing and executing psychology/linguistic/cognitive science surveys or experiments with human participants

Masters Degree or higher in Linguistics Computational Linguistics Natural Language Processing (NLP) or other related field.
Knowledge of languages other than English. Handson experience with LLMs prompt engineering machine learning and deep learning techniques in the fields of NLP. Experience with AWS services (S3 Sagemaker ML language services etc..

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.

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 $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.