Quality Control (QC) Coordinator

Key Responsibilities:

-Perform sampling and quality checks on annotated datasets (text, image, audio, or video) to ensure adherence to annotation guidelines.

-Identify, log, and categorize annotation defects (e.g., labeling errors, boundary issues, misclassification) with severity levels.

-Track corrective actions and rework tasks to closure; validate re-tests and document outcomes.

Process Coordination:

-Coordinate onboarding training, calibration sessions, and periodic refreshers for annotators and reviewers.

-Ensure annotation guidelines, SOPs, and rubrics are updated, version-controlled, and clearly communicated to stakeholders.

-Manage access permissions for annotation tools, QA platforms, and shared repositories.

Role Impact:

-This position plays a key role in maintaining data quality critical for training and evaluating machine learning models.

-Identify process gaps and recommend practical improvements (annotation templates, QA checklists, sampling strategies).

-Support vendor coordination (checklists, SLAs, documentation requests).