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HomeCompaniesField AiField Data Analyst

Field Data Analyst

Field Ai · Irvine, CA · On Site · Active · $75,000–$115,005 / year · Lever

Job facts

FieldValue
CompanyField Ai
TitleField Data Analyst
Normalized title-
Department / teamDelivery / Services & Deployment
LocationIrvine, CA, United States
Work modelOn Site
Employment typeFull Time
Salary$75,000–$115,005 / year
Statusactive
ATS providerLever
Posted / first seen2026-03-26 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Field Ai.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Irvine.Open
Department jobsActive postings in Delivery.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyField Ai
Source00217bf9-4e5d-4daa-a3cd-2e1693bf435f
ATS providerLever

Description

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. 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. About the role: 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 . The analyst will support both Data Delivery QA and Field Performance Audits , helping validate mission datasets, investigate operational trends, and generate structured reports for internal teams and customers. Key Responsibilities Data Validation & Quality Assurance 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. Field Data Analysis 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. Client Reporting & Insights Generate clear performance reports and summaries for customers. Translate technical data into understandable insights. Support periodic reporting on autonomy performance and system behavior. Operational Support 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. Process Improvement Improve internal data validation workflows. Support development of automated checks and dashboards. Maintain documentation of datasets, reporting templates, and QA procedures. Required Qualifications 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 Preferred Qualifications 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

Full job record

Job IDa63e0e6486ce9d471e6081695d3df0aab40d6a9c
Org ID8c469bee-2525-4c11-a8b5-16134aeb740d
Source ID00217bf9-4e5d-4daa-a3cd-2e1693bf435f
Board ID00217bf9-4e5d-4daa-a3cd-2e1693bf435f
Providerlever
Provider Job Keyacfba278-5f04-4639-ae26-c85e607eebce
TitleField Data Analyst
Normalized Title
Statusactive
Activeyes
Location TextIrvine, CA
DepartmentDelivery
TeamServices & Deployment
Employment TypeFull time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CityIrvine
Salary RawUSD 75000-115005 per-year-salary
Salary Min75,000
Salary Max115,005
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/field-ai/acfba278-5f04-4639-ae26-c85e607eebce
Apply URLhttps://jobs.lever.co/field-ai/acfba278-5f04-4639-ae26-c85e607eebce/apply
First Seen At2026-05-29 06:56:56Z
Last Seen At2026-06-06 18:40:26Z
Last Checked At2026-06-06 18:40:26Z
Last Changed At2026-05-29 06:56:56Z
Inactive At
Source Posted At2026-03-26 21:14:58Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=field-ai/date=2026-06-06/2026-06-06T18-40-25-026Z-a3498220a9243b523423282565785e22f4f036ec00b36ba5a365a2818919abd4.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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      "text": "About the role:",
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    },
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      "text": "Key Responsibilities",
      "content": "<h4><strong>Data Validation &amp; Quality Assurance</strong></h4>\n\n<li style=\"list-style-type: none;\">\n\n</li><li>Validate mission datasets generated by deployed robots.</li>\n<li>Perform completeness, schema, and integrity checks on field data.</li>\n<li>Identify corrupted, incomplete, or anomalous datasets.</li>\n<li>Support QA processes before datasets are used for analysis or reporting.</li>\n\n\n\n<h4><strong>Field Data Analysis</strong></h4>\n\n<li style=\"list-style-type: none;\">\n\n</li><li>Analyze operational logs and mission data to identify trends or anomalies.</li>\n<li>Investigate system behavior using telemetry and mission outputs.</li>\n<li>Support root-cause analysis by extracting insights from field datasets.</li>\n\n\n\n<h4><strong>Client Reporting &amp; Insights</strong></h4>\n\n<li style=\"list-style-type: none;\">\n\n</li><li>Generate clear performance reports and summaries for customers.</li>\n<li>Translate technical data into understandable insights.</li>\n<li>Support periodic reporting on autonomy performance and system behavior.</li>\n\n\n\n<h4><strong>Operational Support</strong></h4>\n\n<li style=\"list-style-type: none;\">\n\n</li><li>Work with <strong>Fleet Operations, Rapid Support, and Solution Delivery</strong> to investigate field issues.</li>\n<li>Assist in identifying recurring operational problems from data.</li>\n<li>Provide validated datasets to engineering teams for debugging.</li>\n\n\n\n<h4><strong>Process Improvement</strong></h4>\n\n<li style=\"list-style-type: none;\">\n\n</li><li>Improve internal data validation workflows.</li>\n<li>Support development of automated checks and dashboards.</li>\n<li>Maintain documentation of datasets, reporting templates, and QA procedures.</li>\n\n\n"
    },
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      "text": "Required Qualifications",
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    },
    {
      "text": "Preferred Qualifications",
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  "createdAt": 1774559698339,
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