Labelbox · 4 months ago
Applied Research Intern
San Francisco Bay Area
Internship
Onsite
Intern
$35/hr - $45/hrLabelbox is pioneering data-centric approaches fundamental to AI development, building infrastructure for leading research labs and enterprises. As an Applied Research Intern, you will design and productionize evaluation systems for frontier AI models, create post-training datasets, and engage with customer research teams to drive impactful improvements in AI workflows.
Artificial Intelligence (AI)Computer VisionData Collection and LabelingEnterprise SoftwareMachine LearningSoftware
Responsibilities
Build and own evaluation and benchmark suites for reasoning, code, agents, long‑context, and V/LLMs
Create post‑training datasets at scale: design preference/critique pipelines (human + synthetic), and target hard failures surfaced by evals
Experiment and prototype RLHF/RLAIF/RLVR/RM/DPO‑style training loops to improve real-world task and agent performance
Land research in product: ship improvements into Labelbox workflows, services, and customer‑facing evaluation/quality features; quantify impact with customer and internal metrics
Engage with customer research teams: run pilots, co‑design benchmarks, and share practical findings through internal research reports, blog posts, talks, and published papers
Qualification
Required
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)
A deep understanding of frontier autoregressive and diffusion multimodal models, along with the human and synthetic data strategies needed to optimize them
Passion and experience for LLM evaluation and benchmarking
Expertise in training data quality construction, measurement and refinement
The ability to bridge research and application by interpreting new findings and translating them into functional prototypes
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
Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow
Exceptional communication and collaboration skills
Company
Labelbox
Labelbox is the leading data factory for AI teams.
Founded in 2018
51-200 employees
H1B Sponsorship
Labelbox has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (6)
2023 (6)
2022 (7)
2021 (3)
2020 (3)
Funding
Current Stage
Late StageTotal Funding
$188.9MKey Investors
SoftBank Vision FundAndreessen HorowitzGradient
2022-01-06Series D· $110M
2021-02-11Series C· $40M
2020-02-04Series B· $25M
Leadership Team
Manu Sharma
CEO & Co-founder
Recent News
2025-11-02
2025-06-20
Company data provided by crunchbase