Job Overview
We are seeking a highly detail-oriented Data Labeler to support our semi-automated data extraction pipeline as a Human-in-the-loop contributor. You will play a key role in verifying and refining outputs from unstructured data sources, ensuring accuracy and consistency throughout the process.

Key Responsibilities

• Utilize our data labeling platform to complete annotation tasks efficiently and accurately.

• Apply bounding boxes precisely over key regions of interest within unstructured PDF documents.

• Validate and correct extracted content to ensure it aligns with expected outputs and project standards.

• Flag any unclear cases or data points lacking Standard Operating Procedures (SOPs) to the management team for review.

What We’re Looking For

• Attention to Detail: Accuracy is critical. You should have a meticulous eye for spotting inconsistencies and correcting data errors to maintain data integrity.

• Clear Communication: Able to promptly escalate edge cases or ambiguous scenarios to ensure labeling guidelines are consistently applied.

• Results-Oriented: Performance is measured by both the quality and speed of your output — we value those who consistently deliver high-standard work on time.

Experience Requirements
We welcome applicants from all experience levels, provided you demonstrate the core competencies and traits listed above.