Language Engineer (AI)

TL;DR

Language Engineer (AI): Designing and developing complex, multimodal datasets for training and evaluating hirify.global models with an accent on synthetic and model-supported data generation. Focus on driving innovation in AI model evaluation, creating data collection systems, and building tools for data analysis.

Company

hirify.global is a branch of Amazon dedicated to providing advanced AI capabilities for various Amazon products and searches, focused on secure, flexible, cost-effective, and high-quality data development services.

What you will do

• Design complex data collections with human participants, defining quality targets and coordinating efforts.
• Design and conduct complex data creation tasks using synthetic and model-based generation methods.
• Analyze and extract insights from large amounts of data.
• Build tools or prototypes for data analysis or data creation using scripting languages like Python.
• Use 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 computational field.
• 2+ years experience in computational linguistics, language data processing, or AI data creation.
• Experience with language data annotation systems and other forms of data markup.
• Proficient with scripting languages, such as Python.
• Experience working with speech, text, and multimodal data in multiple languages.
• Excellent communication, strong organizational skills, and detail-oriented approach.

Nice to have

• PhD in Computational Linguistics or equivalent field.
• Expertise in bootstrapping AI data collections for quickly evolving requirements.
• Experience in data creation for complex agentic workflows.
• Practical experience with Machine Learning.
• Familiarity with technical concepts such as APIs, version control, agile development, and database queries (SQL, R, Matlab).

Culture & Benefits

• Work in a fast-paced, highly collaborative, and dynamic work environment.
• Contribute to a team striving to be the world’s most customer-centric company.
• Play a critical role in advancing the state-of-the-art in evaluating and training AI models.
• Opportunity to work with secure, flexible, cost-effective, and high-quality data development services.
• Join an equal opportunities employer with an inclusive culture that empowers employees.