Source description
About the role
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.
More at FieldAI
Related open roles
Field Application Engineer - Temporary - Part Time - St Louis, MO
United States · Onsite
Field Application Engineer - Tokyo
JP · Onsite
Field Application Engineer - Temporary - Part time - Cedar Rapids, IA
United States · Onsite
Field Application Engineer - Temporary - Part time - Rexburg, ID
United States · Onsite
Field Application Engineer - Houston, TX
United States · Onsite
Data Platform Engineer, Data Pipelines
Los Angeles · Onsite
