Deskripsi pekerjaan Data Annotator & AI Reviewer Qverse
We are seeking a detail-oriented person to review, annotate, and refine financial data processed by AI models. You will ensure the accuracy of AI-generated outputs, providing essential human-in-the-loop feedback for improving model performance.
Job Description:
- Accurately label and annotate financial documents and other data to train AI models, following predefined guidelines.
- Review, check, and correct AI-generated outputs (such as extracted data or parsed text from documents).
- Ensure that review tasks meet the defined Service Level Agreements (SLAs) for turnaround time and accuracy.
- Provide detailed feedback on parsing errors and edge cases to help improve the AI model's accuracy.
- Work closely with AI developers and data scientists to ensure proper understanding of annotation guidelines and to address any ambiguities in the data.
- Generate regular reports and documentation
Requirements:
- Thorough and detail oriented to spot errors and inconsistencies in parsed data or annotated records.
- Experience working with Excel, Google Sheets, and related tools for data annotation with data annotation tools such as Argilla.io, Label Studio is a plus.
- Basic understanding of AI/ML concepts, especially regarding data labelling and human-in-the-loop processes.
- Problem-solving skills and ability to interpret and refine complex data outputs.
- Ability to communicate effectively with technical teams to report issues and discuss improvements.
- Experience with financial documents such as bank statements, invoices, and balance sheets is preferred.
- Previous experience working with OCR (Optical Character Recognition) systems or AI-based parsing tools is preferred.
