DA/AI Reviewer

Simplifa; Kota Yogyakarta; On-site; IDR 66,960,000 - 100,440,000; Full time

Job summary

Simplifa is hiring a data annotation specialist to support AI model training by labeling financial documents and reviewing AI outputs. You will follow guidelines, ensure accuracy, and meet SLAs while collaborating with AI developers.

The role requires attention to detail, experience with data annotation tools, and a basic understanding of AI/ML concepts. Prior OCR or parsing tool experience is a plus.

Qualifications

• Thorough and detail oriented to spot errors in parsed data or annotated records.
• Experience using data annotation tools such as Argilla.io or Label Studio is a plus.
• Basic understanding of AI/ML concepts, especially data labeling and human-in-the-loop processes.
• Ability to interpret and refine complex data outputs and report issues clearly.

Responsibilities

• Accurately label and annotate financial documents to train AI models.
• Review and correct AI-generated outputs and parsed text from documents.
• Ensure tasks meet defined SLAs for turnaround time and accuracy.
• Provide detailed feedback on parsing errors and edge cases.
• Collaborate with AI developers and data scientists to resolve ambiguities.
• Generate regular reports and documentation.

Skills

Attention to detail

Data annotation

Problem solving

Communication

Tools

Excel

Google Sheets

Argilla.io

Label Studio

Job description

We are on a mission to advance financial literacy, transparency, and security for businesses and financial institutions through innovative artificial intelligence, driving sustainable economic growth, informed decision-making, and compliance.

What You'll Do

• 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

The Must Have

• 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

All offers to candidates will ultimately be based on that candidate's individual experience and skillset, and not every candidate will qualify for the top end of the salary range.