Language Engineer (AI)

TL;DR

Language Engineer (AI): Designing and executing complex, multimodal data collection and generation projects for training and evaluating Amazon's AI models with an accent on quality assurance, tool development, and data analysis. Focus on driving innovation in AGI data services and collaborating with cross-functional teams to build best-in-class AI systems.

Location: Must be based in the USA (Sunnyvale, CA; Boston, MA; Bellevue, WA)

Salary: $86,500 – $151,400 USD annually (exact compensation based on experience, qualifications, and location)

Company

hirify.global's AGI Data Services organization develops diverse datasets to train and evaluate Amazon's Artificial General Intelligence models.

What you will do

• Design and coordinate complex data collections with human participants, defining quality targets and deliverables.
• Create complex data using synthetic and model-based generation methods following state-of-the-art approaches.
• Analyze large amounts of data to extract insights.
• Develop tools and prototypes for data analysis or creation, primarily using Python.
• Utilize modeling tools to bootstrap or test new AI functionalities.
• Collaborate with scientists, software engineers, and other data creators to evaluate AI model performance.

Requirements

• Master's or higher degree in Computational Linguistics or an equivalent field with computational analysis.
• 2+ years of experience in computational linguistics, language data processing, or AI data creation.
• Proficiency in scripting languages, such as Python.
• Experience with language data annotation systems and other forms of data markup.
• Experience working with speech, text, and multimodal data in multiple languages.
• Excellent communication, strong organizational skills, and detail orientation.

Nice to have

• PhD in Computational Linguistics or an equivalent field with computational emphasis.
• Expertise in bootstrapping AI data collections for quickly evolving requirements.
• Extensive experience working with speech, text, and multimodal data in multiple languages.
• Experience in data creation for complex agentic workflows.
• Practical experience with Machine Learning and technical concepts such as API.
• Familiarity with version control, agile development, database queries, and data analysis processes (SQL, R, Matlab).

Culture & Benefits

• Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.
• Inclusive culture empowering Amazonians to deliver the best results for customers.
• Opportunity to work in a fast-paced, highly collaborative, and dynamic environment.