The mission of the Amazon Transcribe Data Team is to engineer the datasets critical to the success of GenAI services for Amazon Transcribe. From chatbots to subtitles to search results and beyond, these products support dozens of languages and impact 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 science, engineering, and product teams. We are customer obsessed and committed to delivering results with the highest quality and integrity.
As a Language Engineer, you will start by diving deep into a high profile project to launch a new product offering. You will consult with stakeholders in science, engineering, and product teams to strategize on data collection and annotation. You will analyze, follow, and improve processes for annotating transcribed conversations, 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 pipelines. You will apply state-of-the-art ML and NLP techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions. You will work collaboratively with other language engineers 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 and oversee data collection and development efforts.
- Innovate on data collection methodologies, guidelines, quality metrics to support new requests.
- Extend existing data collection and annotation efforts to support feature and language expansion.
- Automate repetitive workflows and improve existing processes.
About the team
About AWS
Diverse Experiences
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This team is part of AWS Utility Computing:
Utility Computing (UC)
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.
BASIC QUALIFICATIONS
- PhD in Computational Linguistics, Linguistics with a computational component, or an equivalent field; alternatively, MA with 3+ years of experience
- Excellent knowledge of semantics, pragmatics, conversation analysis, and/or discourse analysis
- Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development
- Proficiency in Python and other analytics tools such as R to process and analyze language data
- Experience in developing and evaluating data annotation and data quality metrics
PREFERRED QUALIFICATIONS
- Ability to explain complex concepts and solutions in easy-to-understand terms
- Experience building ontologies, taxonomies, and other semantic relation frameworks
- Practical knowledge of version control systems such as GitHub
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 Company’s 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $67,700/year in our lowest geographic market up to $151,400/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.