Language Engineer, Aws Ai Data (Transcribe)

Description

The AI Data Team in Amazon Web Services (AWS) is looking for a forward-looking and collaborative Language Engineer to join us 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 AI Data Team is to engineer the datasets critical to the success of AWS’s machine learning services. 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 the 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 couple of critical projects for Transcribe spoken language understanding (SLU) services to drive these projects forward. You will consult with fellow language engineers, 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 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 pipeline. 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

• Advocate for strict adherence to data collection guidelines and quality thresholds
• Collaborate with stakeholders to design data collection and development efforts
• Oversee the progress and quality of several transcription and annotation projects at a time
• Source, validate, and deliver high-quality language artifacts and linguistic data
• Innovate on data collection methodologies, guidelines, quality metrics to support new requests
• Automate repetitive workflows and improve existing processes
• Extend existing data collection, annotation, and quality assurance efforts to support new feature and language expansion

Basic Qualifications

• Experience owning and executing 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
• Excellent knowledge of phonetics, phonology, conversation analysis, and/or discourse analysis
• PhD in Computational Linguistics, Linguistics with a computational component, or an equivalent field; alternatively, MA with 3+ years of experience
• Experience developing and evaluating data annotation and data quality metrics
• Practical knowledge of speech processing techniques and tools for segmenting, labelling, and analyzing speech

Preferred Qualifications

• Experience working in the medical domain
• Practical knowledge of version control systems such as GitHub
• Experience with synthetic dataset creation
• Experience working with a diverse array of languages or language varieties
• Ability to explain complex concepts and solutions in easy-to-understand terms

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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

Company - Amazon Dev Centre Canada ULC

Job ID: A2385324