Technical Program Manager - Robotics

Shape the Future of AI

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.

About Labelbox

We're the only company offering three integrated solutions for frontier AI development:

1. Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
2. Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
3. Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

• High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
• Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
• Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
• Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
• Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

Role Overview

A robotics dataset is fundamentally different than static 2D imagery. Every sample carries time-dependent movement, occlusions, state transitions, and interaction cycles. Quality issues propagate quickly if not caught early—one contributor misunderstanding a task can cause hundreds of unusable sequences.

This role designs the workflows that avoid that outcome.

You will own contributor scoring, inspection percentages, AutoQA thresholds, and acceptance logic—effectively designing how robotics data goes from raw → labeled → trusted → production-ready.

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 working 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 three curves:

1. Data volume
2. Cost per sample
3. Reliability requirements

Without automated workflow logic, cost per labeled sequence grows linearly or worse.

Your work makes it possible for:

• contributors to progress faster,
• QA teams to focus only where needed, and
• robotics orgs to iterate models more quickly.

You directly impact the throughput and viability of Labelbox’s robotics business.