LLM Data Labeler (Part-Time)

Are you an analytical person who is deeply interested in AI and LLM technology?

Is your superpower accurately categorizing information and identifying patterns?

Do you love to solve interesting challenges and make a direct impact through your work?

At Paradox, we believe when you get the people thing right, you can build teams that can change the world. We’re helping organizations around the globe reimagine hiring with our first-of-its-kind recruitment technology. From our Conversational ATS to our best-in-class hiring assessments, Paradox is laser focused on building world class products and a team that our clients love. Our high-performance culture and triple-digit growth have been recognized on Deloitte’s "Fast 500" technology companies, the Inc 5000 list of fastest-growing private companies, and as a Forbes Best Startup Employers. And we’re just getting started. We are looking for top performers who have a track record of success and want to build a company and create the future together.

Join our Tel Aviv team as a Part-Time Data Labeler and help shape the future of AI. We're looking for analytical minds to contribute to our cutting-edge Large Language Model (LLM) project. In this unique role, you'll be performing LLM data tagging tasks, ensuring consistency and quality in our conversations helping design and support our flagship products.

Sound like your perfect fit? We want to hear from you!

As a Data Labeler, you will be responsible for analyzing and tagging data to identify patterns, classifying conversation quality, and optimizing AI performance. In this role, you will:

Analyze and tag conversations between candidates and our AI Assistant, identifying key patterns and classifying them based on quality and relevance.
Perform hands-on data tagging to ensure accuracy and completeness and work across various data sources to maintain consistent and high-quality tagging.
Monitor AI performance, recognizing successes and areas for improvement.
Work closely with our Data Specialists to understand the data needs and ensure tagging processes align with goals ensuring Paradox remains top in class.

Required Qualifications:

Strong technical skills or background
Deep interest and foundational knowledge in Large Language Models (LLMs)
Tech-savvy with experience using web platforms professionally
Fluent in English, including both written and verbal communication
Availability to work a part-time schedule
Ability to learn quickly and maintain attention to detail
Ability to work from our Tel Aviv office
Authorization to work in Israel

Why you should work at Paradox:

Work side by side with passionate, purposeful people - Talent is our DNA and we pride ourselves on having the best!
Ability to make a big impact on a growing organization and drive your own growth
The opportunity to build the next big thing in recruiting technology
Internal and external professional development, coaching, and continuous education opportunities