Data Annotation Jobs in Massachusetts (NOW HIRING)

Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple. To build the best speech recognition and generation models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional “data processing” and “model training”. Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signals from unprecedented volumes of data.
By joining our team, you’ll have the opportunity to work with large and diverse datasets, iterate with research and production teams, and deliver voice based experiences to millions of users worldwide.
Description
The Siri Speech team is looking for exceptional individuals to extend the core technology that let Siri understand, learn, and remember. You will be part of a cross-functional team consisting of software engineers as well as data and machine learning engineers/scientists and having a large impact on the Siri product. This is a rare opportunity to apply distributed data engineering techniques at the intersection of various areas such as speech recognition, natural language processing, and dialogue management.
In this role you will
- Implement backend tools for Speech data warehouses including cataloging the entire collection of Speech Data
- Automate speech data annotation that runs on a self-serve platform
- Deploy and implement LLM-based chatbots to make the unified speech warehouse queryable and actionable (such as derived dataset creation) via natural language
- Automate onboarding of new speech datasets from various sources onto a unified speech warehouse for easier discoverability and inclusion in training and evaluation of Siri
- Collaborate with other Data and infrastructure teams across Apple to implement querying and speech dataset creation improvements
Preferred Qualifications
M.S. or Ph.D. degree in Computer Science, or equivalent experience
Strong data engineering background in speech and/or language/text/dialogue processing field
Speech and/or Machine Learning experience a plus
Real passion for building research demo data solution prototypes and turning them into production quality design/implementation
Strong interpersonal skills to work well with engineering teams
Excellent problem solving and critical thinking
Ability to work in a fast-paced environment with rapidly changing priorities
Passionate about building extraordinary products and experiences for our users
Minimum Qualifications
Deep expertise in Python software development, CI/CD, unit and integration testing
Distributed data processing tools and frameworks (Beam, Spark, Dask, Ray)
Strong software engineering abilities in Python
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.