Who We Are:
We are a rapidly growing embodied AI company revolutionizing human labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we develop transformative technologies that redefine how work is done across multiple industries-empowering businesses to streamline operations, boost productivity, and unlock new possibilities.
Overview:
As a Quality Assurance Specialist in our Data Generation team within R&D, you will play a central role in ensuring the reliability and accuracy of the datasets used to train our next-generation embodied AI models. You will own the quality layer across teleoperation data, labelled datasets, and custom data-collection pipelines produced by our Teleoperations & Data Labelling.
Your work directly influences model performance, robustness, and generalization in real-world environments. This is a high-impact role at the intersection of data operations, robotics R&D, and product quality.
Your Responsibilities:
Data Quality Assurance (Primary Focus)
* Review, validate, and approve data batches from teleoperation and labeling teams.
* Ensure accuracy, completeness, consistency, and correct formatting across all data types.
* Identify quality issues early and maintain clear rejection/acceptance criteria.
* Analyze recurring error patterns and enforce corrective measures.
* Conduct systematic audits of annotations, teleop sequences, metadata, and structured datasets.
* Track quality metrics and maintain reports on performance trends across contributors.
* Safeguard the reliability of all datasets entering R&D and model training pipelines.
Process, Enablement & Collaboration
* Develop and refine QA workflows, checklists, and annotation guidelines.
* Train teleoperators and labelers on quality standards, edge cases, and best practices.
* Provide structured feedback and contribute to onboarding new team members.
* Work closely with ML and Robotics teams to understand data requirements and evolving quality thresholds.
* Support improvements to annotation tooling and teleoperation UX based on QA findings.
* Ensure smooth communication between Data Generation, Teleoperations, and R&D.
Qualifications:
Education and Experience
* Bachelor's degree in a relevant field (Computer Science, Cognitive Science, Data Science, Robotics, or similar).
* Experience in data annotation, teleoperations environments, ML datasets, or related QA/operations roles is a strong plus.
* Experience with structured QA processes or quality control frameworks is beneficial.
Skills
* Strong attention to detail and an ability to spot inconsistencies in complex datasets.
* Familiarity with data annotation tools, teleoperation interfaces, or dataset management workflows.
* Understanding of basic ML concepts and why data quality matters for model performance.
* Ability to design and enforce clear QA guidelines and processes.
* Proactive communicator with the ability to teach, coach, and align multiple stakeholders.
* Comfortable working in fast-moving environments with evolving requirements.
Our interview plan:
* Application
* Take-home assignment: You'll work on a short, role-relevant task with clear instructions and a deadline.
* Cultural fit interview (40 min): A conversation about how you work, what motivates you, and what you're looking for. Expect CV highlights, your "why," and time for your questions.
* Technical fit interview (45 min): A deeper dive into your skills and problem-solving approach for this role.
* Onsite Visit & Founder interview (30 min): A discussion on vision, impact, and how the role connects to company priorities.
What We Offer:
* Wellpass (gym membership)
* Free meals at the workplace
* Flexible working hours
* Option to work from home when needed
* A motivated team and an open corporate culture
* Competitive compensation and excellent career development opportunities