Labelbox
Technical Program Manager - Robotics
Labelbox, San Francisco, California, United States, 94199
Overview
Technical Program Manager - Robotics at Labelbox. Shape the future of AI by building critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. What You Will Own
Workflow Engineering Define contributor onboarding workflows for robotics projects. Build stage-gated review levels (100% review → 90% → 70% → floor threshold). Encode feedback loops so contributors improve and move faster over time. Quality Management Identify failure modes across robotics use cases (hand occlusion, tracking drift, mis-bounds, missing state changes, etc.). Translate failure cases into rules, triggers, and annotation quality checks. Use automated validation (LLM or heuristic) to minimize unnecessary human review. Review Load Optimization Design cost-vs-confidence strategies for review decisions. Track time-to-acceptance, rework rate, slack time, and rejection patterns. Reduce QA overhead as confidence increases. Contributor Confidence Systems Build scoring profiles using: past approval rate, rework volume, escalation frequency, time compliance. Use scoring to automatically set review percentages. What You Bring Experience with robotics or real-world perception data workflows. Ability to identify data consistency issues and convert them into scalable rules. Understanding of large-scale review operations (internal or workforce-based). Experience with measurement frameworks (KPIs for labeling quality). Strong analytical skills with cost-aware decision-making. Why This Job Exists Every robotics project scales along data volume, cost per sample, and reliability requirements. Your work enables contributors to progress faster, QA teams to focus where needed, and robotics orgs to iterate models more quickly. Alignerr Services at Labelbox Lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback for AI advancement. Oversee significant monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects to improve quality for Frontier AI Labs. Use our AI-powered talent acquisition system and access to a large pool of professionals to rapidly build and deploy expert teams for customers. Note: Salary range information included in this posting is for United States-based candidates and may vary by location. Life at Labelbox
Location: San Francisco or Wrocław, Poland Work Style: Hybrid model (2 days per week in office) Environment: Fast-paced, high-impact, ownership-driven Growth: Career advancement tied to impact Vision: Building the foundation for humanity's transformative technology Our Vision
We believe data will remain crucial in achieving artificial general intelligence. We develop new products and services to enable the next generation of AI breakthroughs. Labelbox is backed by leading investors and serves customers across industries.
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Technical Program Manager - Robotics at Labelbox. Shape the future of AI by building critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. What You Will Own
Workflow Engineering Define contributor onboarding workflows for robotics projects. Build stage-gated review levels (100% review → 90% → 70% → floor threshold). Encode feedback loops so contributors improve and move faster over time. Quality Management Identify failure modes across robotics use cases (hand occlusion, tracking drift, mis-bounds, missing state changes, etc.). Translate failure cases into rules, triggers, and annotation quality checks. Use automated validation (LLM or heuristic) to minimize unnecessary human review. Review Load Optimization Design cost-vs-confidence strategies for review decisions. Track time-to-acceptance, rework rate, slack time, and rejection patterns. Reduce QA overhead as confidence increases. Contributor Confidence Systems Build scoring profiles using: past approval rate, rework volume, escalation frequency, time compliance. Use scoring to automatically set review percentages. What You Bring Experience with robotics or real-world perception data workflows. Ability to identify data consistency issues and convert them into scalable rules. Understanding of large-scale review operations (internal or workforce-based). Experience with measurement frameworks (KPIs for labeling quality). Strong analytical skills with cost-aware decision-making. Why This Job Exists Every robotics project scales along data volume, cost per sample, and reliability requirements. Your work enables contributors to progress faster, QA teams to focus where needed, and robotics orgs to iterate models more quickly. Alignerr Services at Labelbox Lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback for AI advancement. Oversee significant monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects to improve quality for Frontier AI Labs. Use our AI-powered talent acquisition system and access to a large pool of professionals to rapidly build and deploy expert teams for customers. Note: Salary range information included in this posting is for United States-based candidates and may vary by location. Life at Labelbox
Location: San Francisco or Wrocław, Poland Work Style: Hybrid model (2 days per week in office) Environment: Fast-paced, high-impact, ownership-driven Growth: Career advancement tied to impact Vision: Building the foundation for humanity's transformative technology Our Vision
We believe data will remain crucial in achieving artificial general intelligence. We develop new products and services to enable the next generation of AI breakthroughs. Labelbox is backed by leading investors and serves customers across industries.
#J-18808-Ljbffr