Robotics Data Quality & Pilot Coach

Ultra; New York (NY); On-site; USD 34,000 - 62,000; Full time

Job summary

Ultra is seeking a Data Operations Associate in the United States to help ensure high-quality robot data for training models. You will split time between data quality assurance and teleoperation pilot support, reviewing task data, providing feedback, and coaching pilots to improve safety and consistency.

The role emphasizes hands-on analysis, guideline refinement, and collaboration with Autonomy and Operations teams to scale data practices as operations grow.

Qualifications

• Exceptional attention to detail and consistent judgment when reviewing complex information.
• Strong written and verbal communication skills with clear feedback abilities.
• Ability to review repetitive tasks and identify edge cases and patterns.
• Systems-oriented mindset to diagnose why issues occur and how to improve processes.
• Comfort with technical tools, structured data, dashboards, and unfamiliar software.

Responsibilities

• Robot data quality assurance: review videos and annotations and flag quality issues.
• Annotation feedback and improvement: provide structured feedback to teams and track errors.
• Annotation guidelines: help design and refine instructions, rubrics, and edge-case guidance.
• Pilot observation and coaching: observe pilots and provide timely coaching.
• Pilot readiness and evaluation: assist training materials and certification processes.
• Quality monitoring and reporting: track metrics and communicate findings to teams.
• Process improvement: identify inefficiencies and implement scalable quality controls.
• Cross-functional collaboration: translate model-training needs into practical guidance.

Skills

Attention to detail

Communication

Systems thinking

Decision making

Technical proficiency

Robotics interest

Tools

Spreadsheets

Dashboards

Data annotation tools

Job description

Ultra is seeking a Data Operations Associate in the United States to help ensure high-quality robot data for training models. You will split time between data quality assurance and teleoperation pilot support, reviewing task data, providing feedback, and coaching pilots to improve safety and consistency.

The role emphasizes hands-on analysis, guideline refinement, and collaboration with Autonomy and Operations teams to scale data practices as operations grow.