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 LabelboxWe're the only company offering three integrated solutions for frontier AI development:
- Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
- Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
- Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
- 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.
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 OwnWorkflow 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.
- 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.
- 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.
- Build scoring profiles using:
- past approval rate
- rework volume
- escalation frequency
- time compliance
- Use scoring to automatically set review percentages.
- 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.
Every robotics project scales along three curves:
- Data volume
- Cost per sample
- 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.
Alignerr Services at LabelboxAs part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers, which include the majority of leading AI labs and AI disruptors, achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence.
Labelbox 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.
- Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland
- Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility
- Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
- Growth: Career advancement opportunities directly tied to your impact
- Vision: Be part of building the foundation for humanity's most transformative technology
We 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.
Labelbox 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.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
Any 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.
