ML Data Quality Engineer for CV Labeling & Learning

Outpost; Seattle (WA); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Health, Dental, Vision

401(k) Matching

18 Paid Holidays

Unlimited PTO

Friday Team Lunches

Salary Range $130k-$160k

Job summary

Outpost in Seattle is hiring for a data quality/ML data engineering role focused on CV accuracy. You will own metrics, investigate misclassifications, curate datasets for retraining, and help build a robust continual learning pipeline integrated with ML/CV engineers.

The role emphasizes turning insights into product improvements, contributing to fixes, tooling, and model updates as the pipeline matures.

Qualifications

• 3+ years in a data quality, ML data engineering or applied ML role.
• Experience working with computer vision or object detection systems in production.
• Comfortable writing Python for data analysis, pipeline automation, and dataset tooling.
• Strong analytical rigor, comfortable digging into large volumes of imagery/data to find patterns.
• Experience with dataset annotation/labeling tools and workflows (Roboflow, Labelbox, CVAT, or similar).
• Strong communication skills.

Responsibilities

• Own tracking and reporting of CV accuracy metrics, per customer and per identifier type.
• Investigate misclassifications and false negatives, categorize root causes, and identify patterns across customers and yards.
• Curate, label, and prioritize datasets for model retraining, partnering closely with ML and CV engineers.
• Build and improve the continuous learning pipeline so new models ship weekly with minimal manual engineering effort.
• Define functional acceptance criteria for CV accuracy per customer and track progress against them.
• Translate accuracy findings into decisions the engineering team and customer-facing stakeholders can act on.
• As the pipeline matures, move from flagging issues to fixing them directly; build labeling/preprocessing tooling, run retraining jobs, and own fixes for error patterns.

Skills

Data quality

Computer vision

Python for data analysis

Dataset annotation tools

Strong communication

Tools

Roboflow

CVAT

Labelbox

Job description

Outpost in Seattle is hiring for a data quality/ML data engineering role focused on CV accuracy. You will own metrics, investigate misclassifications, curate datasets for retraining, and help build a robust continual learning pipeline integrated with ML/CV engineers.

The role emphasizes turning insights into product improvements, contributing to fixes, tooling, and model updates as the pipeline matures.