Data Quality Engineer - Marketplace Data & Annotation

Shopee; Philippines; On-site; PHP 460,000 - 720,000; Full time

Job summary

Shopee is seeking a data annotation quality professional in the Philippines to lead annotation quality pipeline development, SOP design, and ongoing quality evaluation. You will collaborate with cross-functional teams to ensure high-quality data labeling, and you will train teams on SOPs to maintain strict quality standards.

The role involves developing QC processes, conducting regular data quality assessments, and leveraging AI tools to enhance efficiency in day-to-day annotation tasks.

Qualifications

• Bachelor's degree or higher in CS, Business Analysis, Information Management or related field.
• Knowledge of machine learning and data labeling techniques.
• Knowledge of SQL, Python and data analysis is a plus.
• Ability to leverage AI tools to enhance day-to-day tasks and improve efficiency.
• Strong problem-solving skills with attention to detail.

Responsibilities

• Collaborate with cross-functional teams to create and implement annotation quality pipelines that ensure consistent and accurate data labeling.
• Develop and refine quality control processes to identify and rectify issues in annotated datasets.
• Design, document, and communicate clear Standard Operating Procedures (SOPs) for data annotation teams.
• Train and educate annotation teams on SOPs to ensure adherence to quality standards.
• Conduct regular quality assessments of annotated data to identify discrepancies, inconsistencies, or errors.
• Collaborate with annotation teams to provide feedback and guidance for improving annotation quality.

Skills

Annotation quality pipelines

SOP design

Quality evaluation

Cross-functional collaboration

Attention to detail

Education

Bachelor's degree in related field

Tools

SQL

Python

Data analysis

Job description

Shopee is seeking a data annotation quality professional in the Philippines to lead annotation quality pipeline development, SOP design, and ongoing quality evaluation. You will collaborate with cross-functional teams to ensure high-quality data labeling, and you will train teams on SOPs to maintain strict quality standards.

The role involves developing QC processes, conducting regular data quality assessments, and leveraging AI tools to enhance efficiency in day-to-day annotation tasks.