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Labelbox

Open positions (4)

Member of Technical Staff

26d ago
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Labelbox

Labelbox is seeking a Member of Technical Staff to lead the design, development, and production of Frontier Data Products. This role involves building the essential sandboxed, reproducible environments that AI agents require for training and evaluation, including terminals, browsers, and tool-augmented workspaces. You will be responsible for writing production-quality infrastructure, integrating with the RL tooling ecosystem, and ensuring environments are robust and observable. A strong understanding of how RL training loops consume environments and potential failure points is crucial.

$140k - $200k

San Francisco Bay Area remote
AWSGoogle CloudDocker +10 more

Staff ML Engineer, Agent Training & Environments

1mo ago
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Labelbox

Labelbox is building the critical infrastructure for breakthrough AI models, focusing on data-centric approaches. We offer integrated solutions for frontier AI development, including an Enterprise Platform & Tools for scalable data annotation, a Frontier Data Labeling Service with specialized expertise, and an Expert Marketplace connecting AI teams with skilled annotators. We operate in a high-impact, fast-paced environment that rewards ownership, technical excellence, and continuous learning. This role is central to advancing frontier agent capabilities, bridging the gap between training and infrastructure by building the systems that run experiments, including environments, verifiers, and fine-tuning pipelines. We seek engineers with strong judgment who can set technical direction, build reliable systems quickly, and are at the forefront of agent-first engineering practices.

$250k - $280k

San Francisco Bay Area remote
Google CloudKubernetesPython +13 more

Forward Deployed Engineer, RL Environments

1mo ago
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Labelbox

Labelbox is seeking a Forward Deployed Engineer to design, develop, and operationalize reinforcement learning (RL) environments. This role involves building sandboxed, reproducible execution environments for AI agents during training and evaluation, such as terminal-based task benchmarks, browser environments, and tool-augmented workspaces. You will write production-quality infrastructure code, integrate with open-source RL tooling, and collaborate with the data operations team to ensure environments are robust and observable. While not a research role, a deep understanding of how RL training loops consume environments and identify bottlenecks is essential.

$140k - $200k

San Francisco Bay Area remote
AWSGoogle CloudDocker +10 more

Forward Deployed Research Scientist

1mo ago
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Labelbox

Alignerr, Labelbox's human data organization, is seeking a Forward Deployed Research Scientist to join their team. This role sits at the intersection of research science and client delivery, embedding research capability directly into client engagements. Unlike traditional research roles, you will work on multiple client projects simultaneously, operating on short timescales of days to weeks. You will engage with research teams at major AI labs, reason scientifically about data strategy in real time, fine-tune open-weight models to validate data methodology, and collaborate with the Applied Research team on publications. This fast-paced, applied role offers clear ownership and autonomy, with career growth directly tied to your contributions.

$200k - $300k

San Francisco Bay Area remote
Meta LlamaMistralPython +10 more

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