TL;DR

Senior Language Engineer (AI): Develop and lead complex, multimodal datasets for training and evaluating AI models with an accent on synthetic data generation, human-in-the-loop data collection, and model-supported data creation. Focus on designing data strategies, building tools for data analysis, and collaborating cross-functionally to advance AI capabilities.

What you will do

Define and lead data creation strategies for science partners.
Design and manage complex data collections involving human participants.
Develop synthetic and model-based data generation tasks.
Analyze large datasets and extract insights.
Build tools or prototypes for data analysis and creation using Python or scripting languages.
Collaborate with scientists and engineers to evaluate AI model performance.

Requirements

Master's degree in Computational Linguistics or equivalent field.
5+ years experience creating AI datasets using diverse approaches including synthetic and human-in-the-loop methods.
Experience with speech, text, and multimodal data in multiple languages.
Experience leading cross-team data creation strategies for long-term science customers.
Familiarity with machine learning training and evaluation data needs.
Knowledge of APIs, version control, agile development, and data analysis tools (SQL, R, Matlab).

Salary: $84,000–$185,000 per year

Company

%hirify_global% develops advanced AI capabilities and provides secure, flexible, and high-quality data services to support machine learning models across Amazon products.