What you’ll do

• Robot data quality assurance. Review videos and associated annotations from a high mix of industrial robot tasks. Identify missing, inaccurate, or inconsistent annotations and determine whether collected data meets established quality standards.
• Annotation feedback and improvement. Provide clear, structured feedback to internal and external annotation teams. Track recurring sources of error and help ensure that feedback leads to measurable improvements in annotation quality.
• Annotation guidelines. Help design, test, and refine annotation instructions, examples, rubrics, and edge-case guidance so that annotators can make consistent decisions at scale.
• Pilot observation and coaching. Observe teleoperation pilots as they train on new tasks, identify performance gaps, and provide timely, actionable coaching.
• Pilot readiness and evaluation. Help evaluate whether pilots are ready to perform tasks independently. Support the development of task-specific training materials, grading criteria, and certification processes.
• Quality monitoring and reporting. Track data-quality and pilot-performance metrics, investigate unexpected changes, and communicate findings to operations and technical stakeholders.
• Process improvement. Identify inefficient or unreliable parts of the data collection and review process, propose improvements, and help implement systems that maintain quality as operations scale.
• Cross-functional collaboration. Partner with the Autonomy team to understand which mistakes matter most for model training and evaluation, then translate those needs into practical guidance for pilots and annotators.

What we’re looking for

Experience requirements are flexible. We care more about judgment, attention to detail, communication, and demonstrated ability than a specific number of years.

• 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.

Nice to have

• 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.

What success looks like

Within your first several months, you will develop a strong understanding of our robot tasks, annotation standards, and pilot workflows. You will reliably identify data-quality issues, provide feedback that improves annotation accuracy, and help pilots develop better task-execution habits.

Over time, you will help us move from resolving individual mistakes to building systems that prevent those mistakes from recurring. Your work will result in more consistent annotations, better-trained pilots, clearer operating guidelines, and higher-quality robot data for our AI teams.

Expected Compensation

$25 - $45/hr

Equal Employment Opportunity Statement

We are an Equal Opportunity Employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a diverse and inclusive environment and encourage applicants from all backgrounds to apply.

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.