Jobs at Labelbox

Manage the corporate spend program, including Brex cards, employee expense reports, policy compliance, vendor and subscription tracking, and cardholder records. Monitor transactions, identify unusual or noncompliant spending, resolve missing receipts and categorization issues, and track cloud and compute expenses. Maintain department budget-versus-actual reporting, support recurring spend reports, and ensure accurate card and expense data for month-end close.

Lead and grow a team of Forward Deployed Engineers (FDEs) to scope technical data programs, design pipelines and measurement, write instructions, and ensure data quality. Own hiring, onboarding, staffing, craft standards, tooling for reuse, and cross-functional alignment to keep FDEs focused on high-level technical work and career development.

Manage end-to-end contributor acquisition funnels: source technical profiles, track funnel conversion, fix drop-offs, coordinate with recruiters and partners, manage BPOs/sourcing vendors, and ensure recruits complete onboarding and first tasks. Build scalable processes, dashboards, and screening flows to meet headcount and quality targets for a high-volume AI labeling marketplace.

The Forward Deployed Research Scientist engages directly with AI labs to develop data strategies, fine-tune models, run experiments, and collaborate on publishing research, all in a fast-paced client-focused setting.

Build and scale AI data and ML infrastructure: evaluation systems, fine-tuning pipelines, agent-first product surfaces, high-throughput data workflows, and integrations of new models into production.

Work with the security team to triage vulnerabilities, operate vulnerability management, audit and refine IAM and access controls, improve CI/CD security checks, tune and automate SIEM alerting and log ingest, support security exercises, research security tools, and document findings.

Contract recruiter responsible for precision sourcing and placing highly specialized domain experts (PhDs, researchers, senior practitioners). Run targeted outbound campaigns, build niche pipelines, assess technical depth and communication, guide candidates through recruitment, and earn commission-based placements while working fully remotely and asynchronously.

The role involves designing and maintaining reinforcement learning environments, developing containerized execution environments, managing integrations, and collaborating with data operations for AI training.

Own end-to-end delivery of complex customer AI deployment programs: scope, technical design, staffing, execution, and unit economics. Coordinate TPMs, engineers, and cross-functional teams; manage margin, risk, timelines, and quality. Establish operating cadence, dashboards, and playbooks to scale deployments and serve as the customer's primary delivery contact.