Labelbox · 1 month ago
Forward Deployed Engineer, Robotics
San Francisco Bay Area
Full-time
Hybrid
Mid, Senior Level
$140K/yr - $200K/yrLabelbox is a company focused on building critical infrastructure for AI models, and they are seeking a Robotics Data Pipeline & QA Engineer. This role involves building end-to-end infrastructures for robotics data workflows, ensuring high-quality data production at scale while collaborating with various internal teams.
AI InfrastructureArtificial Intelligence (AI)Computer VisionData Collection and LabelingEnterprise SoftwareMachine LearningSoftware
Responsibilities
Build and optimize ingestion pipelines for robotics video, synchronized metadata, sensor logs, and derived annotations
Architect scalable labeling workflows that maintain ID integrity, time alignment, and version control across large datasets
Implement automated QA flows using heuristics, statistics, and LLM-based validation to reduce manual QA burden
Create dynamic trust scoring systems that ramp-down review percentage as contributors prove consistent quality
Track data progression across ingestion → labeling → review → acceptance → downstream consumption
Build monitoring systems for throughput, failure rates, accuracy, contributor performance, and cost impact
Identify robotic-specific annotation edge cases and translate them into codified criteria and QA logic
Collaborate with internal Platform, Infra, and ML teams to integrate tooling end-to-end
Qualification
Required
Master's degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields
Proficiency in Python and data analysis
Prior experience leading LLM projects
Exceptional communication skills: ability to convey complex technical concepts clearly
Strong project management and organizational skills
Passion for AI and the intersection of technology, product, and customer needs
Strong experience with Python and backend APIs
Experience with production-grade data pipelines or workflow engines
Experience with robotics datasets (video, depth, LiDAR, telemetry, pose)
Experience with evaluation, scoring, or reliability systems
Experience with cloud environments (GCP/AWS preferred)
Preferred
Prior work with robotic perception or manipulation datasets
Knowledge of dataset versioning and lineage tracking
Experience with cost optimization around video lifecycle or automated review systems
Experience designing contributor ramp-down or trust-score systems
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