Applied Research Intern

Shape the Future of AI

At Labelbox were building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018 weve been pioneering data-centric approaches that are fundamental to AI development and our work becomes even more essential as AI capabilities expand exponentially.

About Labelbox

Were the only company offering three integrated solutions for frontier AI development :

• Enterprise Platform & Tools : Advanced annotation tools workflow automation and quality control systems that enable teams to produce high-quality training data at scale
• Frontier Data Labeling Service : Specialized data labeling through Alignerr leveraging subject matter experts for next-generation AI models
• Expert Marketplace : Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

Role Overview

As an Applied Research intern at Labelbox you will design build and productionize evaluation and posttraining systems for frontier LLMs and multimodal models. Youll own continuous high-quality evals and benchmarks (reasoning code agent / tooluse longcontext visionlanguage et al.) create and curate posttraining datasets (human synthetic) and prototype RLHF / RLAIF / RLVR / RM / DPOstyle training loops to measure and improve realworld task and agent performance.

Your Impact

What You Bring

Applied Researchat Labelbox

At Labelbox Applied Research were committed to pushing the boundaries of AI and data-centric machine learning with a particular focus on advancing human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning human-computer interaction and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors including skills and competencies experience and geographical location.

Annual base salary range

$35 - $45 USD

Life at Labelbox

Our Vision

We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated the need for high-quality specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.

Labelbox is backed by leading investors including SoftBank Andreessen Horowitz B Capital Gradient Ventures Databricks Ventures and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.

Your Personal Data Privacy : Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelboxs Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @ email address. If you encounter anything that raises suspicions during your interactions we encourage you to exercise caution and suspend or discontinue communications.

Required Experience :

Intern

Key Skills

Robotics,Machine Learning,Python,AI,C / C++,Data Collection,Research Experience,Signal Processing,Natural Language Processing,Computer Vision,Deep Learning,Tensorflow

Employment Type : Intern

Experience : years

Vacancy : 1

Monthly Salary Salary : 35 - 45