Requirements Summary

The ideal candidate will have a BS in Computer Science/Engineering or equivalent experience, 2-5 years of experience in ML QA or related fields, and hands-on experience with annotated ML datasets

Benefits

Full Job Description

Role Overview Gather AI is looking for an ML Annotation QA Engineer to own the quality of annotated data across their computer vision and machine learning programs. The role is responsible for judgment-heavy analysis, decision rules, and turning annotation output into an ongoing read on how their systems are performing in the field. What You Will Do The ML Annotation QA Engineer will own the daily review queue, produce verdicts and root cause, build and maintain performance trackers, detect anomalies, and run root cause analysis. Why It Might Be a Fit Success in this role requires a combination of analytical rigor, sound judgment under ambiguity, and clear written communication. Requirements BS in Computer Science/Engineering, Electrical Engineering, or equivalent experience 2–5 years of experience in ML QA, annotation quality, data quality, or analytics at an AI/ML company Hands-on experience with annotated ML datasets, including assessing label quality Demonstrated experience finding, diagnosing, and reporting data anomalies to a technical audience Able to get to a defensible answer from unfamiliar data without someone preparing it first Understanding of data privacy and confidentiality requirements when working with customer operational data Benefits Dental insurance Vision insurance Health insurance Paid time off 401(k) or equivalent retirement plan Stock options

Skills and Technologies