Applied Research Intern at Labelbox

<div class="content-intro"><h2><strong>Shape the Future of AI</strong></h2> <p>At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.</p> <h2><strong>About Labelbox</strong></h2> <p>We're the only company offering three integrated solutions for frontier AI development:</p> <ol> <li><strong>Enterprise Platform &amp; Tools</strong>: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale</li> <li><strong>Frontier Data Labeling Service</strong>: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models</li> <li><strong>Expert Marketplace</strong>: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling</li> </ol> <h2><strong>Why Join Us</strong></h2> <ul> <li><strong>High-Impact Environment</strong>: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.</li> <li><strong>Technical Excellence</strong>: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.</li> <li><strong>Innovation at Speed</strong>: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.</li> <li><strong>Continuous Growth</strong>: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.</li> <li><strong>Clear Ownership</strong>: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.</li> </ul></div><h2><strong>Role Overview</strong></h2> <p>As an Applied Research intern at Labelbox, you will design, build, and productionize evaluation and post‑training systems for frontier LLMs and multimodal models. You’ll own continuous, high-quality evals and benchmarks (reasoning, code, agent/tool‑use, long‑context, vision‑language, et al.), create and curate post‑training datasets (human + synthetic), and prototype RLHF/RLAIF/RLVR/RM/DPO‑style training loops to measure and improve real‑world task and agent performance.</p> <h2><strong>Your Impact</strong></h2> <ul> <li>Build and own evaluation and benchmark suites for reasoning, code, agents, long‑context, and V/LLMs.</li> <li>Create post‑training datasets at scale: design preference/critique pipelines (human + synthetic), and target hard failures surfaced by evals.</li> <li>Experiment and prototype RLHF/RLAIF/RLVR/RM/DPO‑style training loops to improve real-world task and agent performance.</li> <li>Land research in product: ship improvements into Labelbox workflows, services, and customer‑facing evaluation/quality features; quantify impact with customer and internal metrics.</li> <li>Engage with customer research teams: run pilots, co‑design benchmarks, and share practical findings through internal research reports, blog posts, talks, and published papers.</li> </ul> <h2><strong>What You Bring</strong></h2> <ul> <li>A strong foundation in AI and machine learning, backed by a Ph.D. or Master’s degree in Computer Science, Machine Learning, AI, or a related field (in progress degrees are acceptable for intern positions).</li> <li>A deep understanding of frontier autoregressive and diffusion multimodal models, along with the human and synthetic data strategies needed to optimize them.</li> <li>Passion and experience for LLM evaluation and benchmarking.</li> <li>Expertise in training data quality construction, measurement and refinement.</li> <li>The ability to bridge research and application by interpreting new findings and translating them into functional prototypes.</li> <li>A track record of publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and contributing to the broader research community.</li> <li>Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow.</li> <li>Exceptional communication and collaboration skills.</li> </ul> <h2><strong>Applied Research&nbsp;at Labelbox</strong></h2> <p>At Labelbox Applied Research, we're 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.</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><em>Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.&nbsp; The expected annual base salary range for United States-based candidates</em><em>&nbsp;</em><em>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.</em></p></div><div class="title">Annual base salary range</div><div class="pay-range"><span>$35</span><span class="divider">&mdash;</span><span>$45 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Life at Labelbox</strong></h2> <ul> <li><strong>Location</strong>: Join our dedicated tech hubs in San Francisco or Wrocław, Poland</li> <li><strong>Work Style</strong>: Hybrid model with 2 days per week in office, combining collaboration and flexibility</li> <li><strong>Environment</strong>: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making</li> <li><strong>Growth</strong>: Career advancement opportunities directly tied to your impact</li> <li><strong>Vision</strong>: Be part of building the foundation for humanity's most transformative technology</li> </ul> <h2><strong>Our Vision</strong></h2> <p>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.</p> <p>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.</p> <p><strong>Your Personal Data Privacy</strong>: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s <a href="https://docs.labelbox.com/page/job-applicant-privacy-notice">Job Applicant Privacy notice</a>.</p> <p>Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.</p></div>