Job ID : 2638111 Amazon Development Center U.S., Inc.
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry.
As a member of the UC organization, you’ll 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.
The Bedrock AI Data Team in Amazon Web Services (AWS) is looking for a Language Data Scientist to collaborate in developing solutions for natural language data collections.
This position is an opportunity to apply your expertise in a challenging but supportive environment.
The mission of the Bedrock AI Data Team is to engineer the datasets critical to the success of AWS’s Bedrock services. From human evaluations to Responsible AI safeguards to Retrieval-Augmented Generation and beyond, these products make Generative AI enterprise-ready and safe for users, impacting millions of people every day.
We are a group of language engineers, linguists, data scientists, data engineers, and program managers, and we partner closely with the science, engineering, and product teams.
We are customer obsessed and committed to delivering results with the highest quality and integrity.
As a Language Data Scientist, you will start by diving deep into a couple of critical projects for Bedrock services to drive these projects forward.
You will collaborate with fellow language data scientists, program managers, as well as stakeholders in science, engineering, and product teams to understand the role data plays in developing models that meet customer needs.
You will analyze, follow, and improve processes for collecting and annotating LLM inputs and outputs, assessing data quality, and automating where appropriate.
You will then expand your scope by using the principles of data-centric AI to understand the role our data plays with regard to model performance specifically, as well as the larger ML pipeline.
You will apply state-of-the-art Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions.
You will work collaboratively with other language data scientists and scientists to design and implement principled strategies for data optimization.
Key job responsibilities
- Source, validate, and deliver high-quality language artifacts and linguistic data
- Collaborate with stakeholders to design data collection and development efforts
- Oversee the progress and quality of several data collection and annotation projects at a time
- Advocate for strict adherence to data collection guidelines and quality thresholds
- Extend existing data collection, annotation, and quality assurance efforts to support feature and language expansion
- Innovate on data collection methodologies, guidelines, quality metrics to support new requests
- Automate repetitive workflows and improve existing processes
About the team
All potential applicants are encouraged to scroll through and read the complete job description before applying.
The Bedrock 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 LLM services.
These Generative AI services enable customers to readily add intelligence to their business operations and AI applications to drive positive outcomes.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
BASIC QUALIFICATIONS
- 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
- PhD in Computational Linguistics, Linguistics with a computational component, or an equivalent field; alternatively, MA / MS with 3+ years of 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
- Experience designing and executing psychology / linguistic / cognitive science surveys or experiments with human participants
PREFERRED QUALIFICATIONS
- Ability to explain complex concepts and solutions in easy-to-understand terms
- Experience with synthetic dataset creation
- Experience with surveying
- Experience working with a diverse array of languages or language varieties
- Practical knowledge of version control systems such as GitHub
- Ability to unblock yourself in a fast-paced environment
- Experience with driving cross-team consensus
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.
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