AwanTunai is the leading vertical fintech player digitizing the offline FMCG supply chain in Indonesia. We solve for both operational and financing pain points through ERP software and integrated embedded financing for offline suppliers. Our traditional suppliers have aggregate annual sales of over $3bn+ and our embedded financing is on track to reach the annualized $1bn milestone next quarter. We have been growing revenues at an average 30% QoQ with 0.2% credit loss rates over the pandemic period across hundreds of traditional suppliers.
Our financial impact has won accolades from the UNCDF, Monetary Authority of Singapore, and with the IFC (World Bank Group) as a major shareholder. Management and our impact focused shareholders are committed to building a world class team regardless of diversity or location.
Our fraud management has won the trust of global banking groups (MUFG, OCBC), the largest local institutions (Bank BRI, Bank Mandiri), as well as global insurers (AA rated Munich Re) who protect our loan assets against credit default.
AwanTunai is looking for a Data Annotator Intern who will be responsible for assisting with data labeling and quality checks on our document-to-text extraction software that involves annotating, verifying, and organizing data, such as invoices and bank statements, to ensure high-quality data standards for our projects.
Manually annotate and label various data points on documents, such as invoices and bank statements, ensuring accuracy and consistency.
Collaborate with the data science team to align on annotation guidelines, standards, and priorities.
Conduct regular quality checks to ensure the extracted data from third-party software meets accuracy standards.
Identify patterns, trends, and inconsistencies in data to improve annotation guidelines and workflows.
Document and report any software-related issues or inaccuracies that impact the data quality.
Fresh graduate in Computer Science, Information Technology, Data Science, Mathematics, or a related field.
Excellent attention to detail and a strong commitment to producing high-quality, accurate work.
Basic understanding of data labeling, data entry, and quality assurance processes.
Proficiency in using Google Suite (Spreadsheet, Document, etc.). Knowledge in Web App will be advantageous.
Strong organizational and time-management skills, with the ability to manage multiple tasks and meet deadlines.
Ability to work both independently and in collaboration with team members.
A keen interest in learning more about data science and data-driven processes.