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.
\nWe're the only company offering three integrated solutions for frontier AI development:
\nWhat if your recruiting expertise could help connect the world's leading experts to some of today's most advanced technology initiatives?
\nLabelbox powers Alignerr, a network of world-class subject matter experts who contribute their expertise to help develop, evaluate, and improve cutting-edge AI systems. We're looking for driven outbound recruiters to identify and engage highly specialized professionals for our highest-priority projects.
\nYour mission is to find exceptional domain experts (PhDs, researchers, academics, and senior industry practitioners) in fields like scientific computing, cybersecurity, finance, engineering, mathematics, and other specialized disciplines. These experts apply their knowledge to create high-quality evaluations, verification tasks, and domain-specific training environments that improve the capabilities of next-generation AI models.
\nThis isn't volume recruiting. It's precision hunting for the best minds in the world, on behalf of the projects that matter most. And you're paid for outcomes: every placement earns you a commission, with no ceiling on what you can make.
\nAt Labelbox, we're building critical infrastructure for breakthrough AI models at leading research labs and enterprises. Since 2018, we've pioneered data-centric approaches fundamental to AI development.
\nLabelbox is the RL data factory for advancing frontier agent capabilities. We build the data, environments, and evaluations that frontier labs use to train and judge their agents.
\nThis role sits where training meets infrastructure. You will run experiments and build systems that run them: environments agents act in, verifiers that decide whether they succeeded, and fine-tuning pipelines that turn that signal into a better model.
\nAs an engineer:
\nAs an RL post-training practitioner:
\nAt Labelbox, we're building critical infrastructure for breakthrough AI models. Since 2018, we've pioneered data-centric approaches fundamental to AI development.
\nAs a Security Engineering Intern at Labelbox, you will work closely with our security team to strengthen and scale our enterprise security program. You will receive direct mentorship while gaining hands-on experience across cloud security, application security, SecOps, and compliance workflows. Your work will help improve the security posture of our infrastructure, services, and internal tooling. This is an hourly internship position.
\nThe expected annual base salary range for United States-based candidates is $40,000 - $55,000 USD.
","enriched_at":1783520092639},{"id":"job_befb3a24-763","title":"Targeted Recruiting & Onboarding Specialist (Contractor)","source_url":"https://job-boards.greenhouse.io/labelbox/jobs/5179646007","location":"Remote, India","job_type":"contract","experience_level":null,"work_arrangement":"remote","category":"HR","description":"At Labelbox, we're building critical infrastructure for breakthrough AI models. We're a company that pioneers data-centric approaches fundamental to AI development.
\nWe're seeking a Targeted Recruiting Specialist to manage the contributor acquisition funnel, from sourcing technical profiles to onboarding and their first completed task. This operational role involves building and running systems, channels, and processes for scalable recruitment.
\nThe expected hourly rate range is ₹570-₹760 INR.
","enriched_at":1783076568760},{"id":"job_c762f40f-828","title":"Deployment Lead","source_url":"https://job-boards.greenhouse.io/labelbox/jobs/5158994007","location":"San Francisco, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"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.
\nWe're the only company offering three integrated solutions for frontier AI development:
\nGet an inside look and hear directly from our current Forward Deployed Engineers here!
\nAbout the Role
\nThe Deployment Lead owns the successful delivery of complex customer programs from initial scoping through steady-state execution , on time, to the quality bar, and at margin. This is a senior, customer-facing role for operators who can translate a customer's technical and business requirements into clear execution plans, coordinate multiple internal workstreams, own the economics of the deployment, and ensure projects meet their throughput, quality, delivery, and margin commitments.
\nDeployment Leads sit at the intersection of customer relationship management, technical program management, and operational and financial execution. They must understand the underlying technical requirements of each program well enough to pressure-test implementation plans and communicate tradeoffs clearly with the customer , and own the unit economics well enough to protect margin while they do it.
\nThe Deployment Lead is the operations-and-margin leg of the customer team: they own delivery and the deployment's economics, partnering with the General Manager, who owns the broader customer relationship and growth. They are the primary point of accountability for the delivery of a major customer or portfolio of projects, and the customer's point of contact when timelines, requirements, or operational performance are in play. They coordinate Technical Program Managers and Forward Deployed Engineers across the account, ensuring each workstream is staffed from the pools, technically sound, and aligned with the broader customer objective.
\nThis role is equivalent in seniority to a TPM Manager, but with a stronger emphasis on customer ownership, deployment success, and margin. It is a senior destination on the TPM track and a pathway toward a General Manager role. General Managers own the broader account end-to-end, including the overall customer and researcher relationships, proposal development, account strategy, operating cadence, and the portfolio of deployments delivered for that customer.
\nShape the Future of AI
\nAt 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.
\nWe're the only company offering three integrated solutions for frontier AI development:
\nLabelbox is the RL data factory for advancing frontier agent capabilities. We build the data, evaluations, and infrastructure that frontier labs use to train and judge their agents. We're looking for talented, experienced engineers to join us. The bar is high: engineers who have strong judgment and set technical direction, quickly build prototypes that scale into the reliable systems, and are at the frontier of agent-first engineering practices and innovating to accelerate the speed of the business.
\nOur engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:
\nLabelbox 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.
\nWe 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.
\nLabelbox 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.
\nAny 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.
","enriched_at":1781035435636},{"id":"job_2d4b13c2-1b4","title":"Forward Deployed Engineering Manager","source_url":"https://job-boards.greenhouse.io/labelbox/jobs/5158989007","location":"San Francisco Bay Area, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"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.
\nWe're the only company offering three integrated solutions for frontier AI development:
\nThe FDE Manager leads and grows the team of Forward Deployed Engineers who own the high-level technical side of our customer data programs. FDEs scope tasks, design the pipelines and measurement that turn a customer's goal into a training signal, write the instructions that guide Alignerrs, and work out what each customer actually needs from their data. The FDE Manager owns the people who do that work , their craft, their growth, and how they're deployed across domains and customers , and is accountable for the technical quality and consistency of what the team produces.
\nThis role sits at the intersection of people leadership, technical depth, and delivery quality. The FDE Manager must understand the technical substance of our projects well enough to coach on scoping and pipeline design, pressure-test instructions, judge whether a project's data will genuinely move the customer's model, and raise the bar on measuring quality early rather than late. It's a player-coach role: you lead people, but you stay close enough to the work to set and defend the craft bar yourself.
\nThe FDE Manager reports to the Services lead and partners closely with the SPL Manager, Deployment Leads, and General Managers. A core part of the role is keeping FDEs at the right altitude , focused on higher-level technical and customer-facing work , and actively handing the day-to-day running of projects to the SPLs and Pod Leads, so the team's most expensive technical talent is never absorbed into project operations.
\nThe FDE Manager also owns FDE onboarding and is the steward of the FDE career path, which runs from FDE to FDE 2 to FDE Manager, with branches toward the Forward Deployed Researcher (FDR) track and, in time, toward General Manager.
\nIn your first several months, you'll take ownership of the FDE team, raise the bar on scoping, pipeline, and instruction quality, and get onboarding running smoothly , eligible projects defined, the instruction and Loom repository in good shape, and new FDEs reaching a staffable standard faster and more consistently. You'll build strong working relationships with the SPL Manager, Deployment Leads, and GMs, keep FDEs well-deployed and at the right altitude, and become the person the team relies on for craft and career growth.
\nOver time, you'll define how FDEs work at scale: the templates, tooling, and playbooks that let the team produce more without rebuilding from scratch, a measurement-and-quality craft bar that surfaces problems early, and a pipeline of FDEs growing
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