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Forward Deployed Engineer, Robotics
Forward Deployed Engineer, RoboticsLabelbox • San Francisco, California, USA
Forward Deployed Engineer, Robotics

Forward Deployed Engineer, Robotics

Labelbox • San Francisco, California, USA
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Shape the Future of AI

At Labelbox were building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018 weve 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

Were 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

Why Join Us

  • High-Impact Environment : We operate like an early-stage startup focusing on impact over process. Youll 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. Youll be surrounded by curious minds solving complex problems at the frontier of AI.
  • Clear Ownership : Youll know exactly what youre responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.
  • Role Overview

    Get an inside look and hear directly from our current Forward Deployed Engineers here !

    We are hiring a Robotics Data Pipeline & QA Engineer to build end-to-end infrastructures that move robotics video sensor data annotation output and review results reliably through labeling workflows. You will combine software engineering data pipeline design robotics context and automation-driven QA systems to ensure the highest-quality data is produced at scale.

    Your work ensures robotics teams can collect label and validate thousands of hours of data per week with confidence and cost-efficiency.

    Your Impact

  • 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.
  • Youre a Fit If You :

  • Have hands-on experience with robotics systems perception stacks simulation or structured robotics datasets.
  • Can translate robotics data failure modes into measurable quality gates.
  • Understand tradeoffs between human-in-loop QA vs automated review.
  • Have experience designing pipelines that handle large media workloads (video-first ideally).
  • Are comfortable owning workflows that span infrastructure product usage and user-facing behavior.
  • What You Bring

    Masters 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.

    Minimum Qualifications

  • 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).
  • Bonus Qualifications

  • 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.
  • Why This Role Matters

    This role has direct financial and model-quality impact. Scaling robotics programs without structured workflows results in exponentially increasing QA spend storage cost and rework cycles. Your systems allow robotics customers to confidently scale data throughput from tens thousands tens of thousands of labeled sequences without compromising reliability.

    You are the backbone of robotics execution at Labelbox.

    Alignerr Services at Labelbox

    As part of the Alignerr Services team youll 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 250000 monthly hours of specialized work across RLHF complex reasoning and multimodal AI projects resulting in quality improvements for Frontier AI Labs. Youll 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 includethemajority of leading AI labs and AI disruptors achieve breakthrough AI capabilities through precisely aligned human datadirectly 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.

    Annual base salary range

    $140000 - $200000 USD

    Life at Labelbox

  • 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 humanitys most transformative technology
  • Our Vision

    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 Labelboxs Job Applicant Privacy notice.

    Any emails from Labelbox team members will originate from a @ email address. If you encounter anything that raises suspicions during your interactions we encourage you to exercise caution and suspend or discontinue communications.

    Required Experience :

    IC

    Key Skills

    ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 140000 - 200000

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