Field Data Analyst

Job Title: Field Data Analyst

Location: Irvine, CA

Job Type: Full time

Prefer Local Candidates

Who are We?

Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Learn more at https://fieldai.com.

We are looking for a Field Data Analyst to support data validation, analysis, and reporting for deployed robotic systems. This role sits within the Service organization and works closely with field operations, engineering, and customer teams to ensure that operational data from deployed robots is accurate, interpretable, and actionable.

• 
  
  
  
  • Validate mission datasets generated by deployed robots
  
  
  • Perform completeness, schema, and integrity checks on field data
  
  
  • Identify corrupted, incomplete, or anomalous datasets
  
  
  • Support QA processes before datasets are used for analysis or reporting
  
  
  
  
  

• 
  
  
  
  • Analyze operational logs and mission data to identify trends or anomalies
  
  
  • Investigate system behavior using telemetry and mission outputs
  
  
  • Support root-cause analysis by extracting insights from field datasets
  
  
  
  
  

• 
  
  
  
  • Generate clear performance reports and summaries for customers
  
  
  • Translate technical data into understandable insights
  
  
  • Support periodic reporting on autonomy performance and system behavior
  
  
  
  
  

• 
  
  
  
  • Work with Fleet Operations, Rapid Support, and Solution Delivery to investigate field issues
  
  
  • Assist in identifying recurring operational problems from data
  
  
  • Provide validated datasets to engineering teams for debugging
  
  
  
  
  

• 
  
  
  
  • Improve internal data validation workflows
  
  
  • Support development of automated checks and dashboards
  
  
  • Maintain documentation of datasets, reporting templates, and QA procedures
  
  
  
  
  

• Bachelor’s degree in Engineering, Data Science, Computer Science, Statistics, or related field


• Strong analytical skills with ability to work with messy operational datasets


• Proficiency in Python, SQL, or similar data analysis tools


• Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar)


• Strong problem-solving ability and attention to detail

• Experience working with robotics, autonomy systems, IoT, or sensor data


• Familiarity with time-series data, logs, or telemetry


• Experience with data pipelines or ETL workflows


• Experience generating reports for external stakeholders

Compensation

The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.

Field AI Onsite Work Philosophy

At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.

We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.