Language Engineering Manager, Bedrock Data

$114,400 - $197,700/Yr

Amazon - Santa Clara, CA

Full-time - Mid Level

Santa Clara, CA

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Language Engineering Manager at Bedrock Data is responsible for leading a team focused on sourcing, validating, and delivering high-quality language artifacts and linguistic data essential for the success of AWS's Bedrock services. This role involves collaboration with various stakeholders to design data collection efforts, oversee multiple projects, and ensure adherence to data quality standards. The manager will also innovate data collection methodologies and automate workflows to enhance efficiency in data processing.

Responsibilities

• Manage team to 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.

Requirements

• 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.
• 2+ years of people management 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.

Nice-to-haves

• 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.
• Ability to unblock yourself in a fast-paced environment.
• Experience with driving cross-team consensus.

Benefits

• Competitive salary ranging from $114,400 to $197,700 per year.
• Comprehensive medical, financial, and other benefits.
• Equity and sign-on payments may be provided as part of the total compensation package.