Data Operations Associate
HybridNew York, United States or Brooklyn, New York, United States
Job Summary
Review robot task videos and annotations to identify missing, inaccurate, or inconsistent data against established quality standards. Provide clear, structured feedback to internal and external annotation teams to improve accuracy and refine guidelines, rubrics, and edge-case instructions. Observe teleoperation pilots during training, evaluate their performance, and deliver actionable coaching to ensure safe, consistent task execution. Track data-quality and pilot-performance metrics, investigate anomalies, and communicate findings to technical stakeholders. Identify inefficiencies in data collection workflows, propose improvements, and partner with the Autonomy team to translate model training needs into practical operational guidance.
Required Qualifications
- Exceptional attention to detail and the ability to maintain consistent judgment while reviewing large volumes of complex information.
- Strong written and verbal communication skills, especially the ability to explain errors clearly and provide direct, constructive feedback.
- Comfort reviewing repetitive work without losing focus, while still recognizing unusual edge cases and broader patterns.
- A systems-oriented mindset: you look beyond individual mistakes to identify why they are happening and how the process can be improved.
- Comfort working with technical tools, structured data, spreadsheets, dashboards, and unfamiliar software systems.
- Good judgment and a willingness to make decisions when guidelines do not perfectly cover the situation.
- An interest in robotics, artificial intelligence, industrial operations, or the role high-quality data plays in improving machine-learning systems.
- A hands-on attitude. You are willing to perform a process yourself, understand it deeply, and help improve it before attempting to automate or delegate it.
- Comfort traveling to Mexico on a semi-regular basis, typically once a month or every other month, to work directly with pilot and data-operations teams.
Desired Qualifications
- Experience in data operations, quality assurance, data annotation, technical operations, robotics operations, manufacturing, logistics, or another detail-oriented operational environment.
- Experience reviewing or producing labeled datasets for machine learning.
- Experience in robotics, teleoperation, manufacturing, warehouse operations, or industrial environments.
- Experience training, coaching, or evaluating operators.
- Experience working with external annotation or operations vendors.
- Familiarity with data-quality metrics, sampling methods, inter-annotator agreement, or quality-control workflows.
- Spanish-language proficiency.
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