Machine Learning Data Attribution Technician

Machine Learning Data Attribution Technician

Job Duties

Perform precise measurements of roof and wall files using specialized software to meet technical quality standards.

Execute rework and "redo" tasks on rejected files, iteratively improving them until they pass final Quality Control (QC) checks.

Coordinate with team leads and other site members to analyze complex sitemaps or similar property structures.

Encode daily productivity and quality metrics into shared team spreadsheets to ensure transparent progress tracking.

Proactively communicate with supervisors regarding file discrepancies, technical issues, or deadline constraints.

Non-negotiables

Strong technical aptitude with the ability to interpret and measure spatial data accurately.

Proven ability to work through "rework" cycles with patience and a high commitment to quality.

Basic proficiency in Microsoft Excel for tracking metrics and navigating shared team sheets.

Exceptional attention to detail, specifically in identifying errors that could lead to QC failures.

Ability to follow standardized processes and strictly adhere to "house rules" and performance improvement plans.

Preferred Skills/Experience

Prior experience in CAD, architectural drafting, or digital property measurement (e.g., EagleView, Hover, or Xactimate).

Familiarity with construction or roofing terminology (e.g., pitch, facets, eave, rake).

Demonstrated ability to meet daily quotas and turn-around time (TAT) requirements in a high-volume environment.

Strong collaborative skills for brainstorming solutions on complex or non-standard sitemaps.

Resilience and a growth mindset when receiving feedback during the QC and audit process.