Data Annotator
Responsibilities
Qualifications & Requirements
Experience Level: Mid Level
Full Job Description
Stenn is seeking a Data Annotator to join its Operations team in Delhi, India, to support its ongoing growth. This critical role involves accurately extracting data from trade and financial records, alongside other relevant documents. The Data Annotator will be responsible for data labelling, quality control, and annotation, and will play a key part in training machine learning models to automate internal processes. You will extensively use Optical Character Recognition (OCR) tools, review and correct extracted data, and ensure adherence to strict accuracy standards. This position directly contributes to operational efficiency by enhancing OCR accuracy and automation, enabling scalable document processing and minimizing manual intervention.
Responsibilities:
- Data Labelling and Annotation: Annotate and label data fields in various digital documents including invoices, transportation records, financial statements, corporate filings, and contracts. Review the accuracy of automated data extraction and perform routine quality assurance checks to ensure consistent data labeling. Manually correct OCR output errors to maintain smooth operational workflows. Identify and report systematic error patterns to relevant teams for resolution. Manage high volumes of document annotations while upholding exceptional accuracy.
- OCR System Operations: Learn and proficiently operate OCR tools for data annotation. Collaborate closely with cross-functional teams to provide feedback on OCR tool performance. Identify patterns and issues with submitted documents and OCR outputs, recommending process optimizations. Provide feedback to external teams and assist in training AI modules for document recognition.
- Operational Requirements: Maintain and update internal knowledge bases and documentation, organizing records of labelled data logs. Collaborate with the operations team to streamline workflows, improve productivity, and reduce manual interventions. Ensure compliance with internal policies, particularly regarding data security and privacy protocols when handling sensitive information.
About You:
- Experience: 1-2 years of experience in data annotation, document analysis, or other data-centric roles. Experience with OCR and annotation tools is preferred. Familiarity with large datasets and document processing, especially in a financial context, is advantageous.
- Technical Knowledge: Basic understanding of machine learning models, particularly in relation to character recognition and natural language processing (NLP). Experience in analyzing and correcting OCR outputs is a plus.
- Attention to Detail: High attention to detail and precision, with the ability to process tasks under pressure and meet tight deadlines.
- Problem-Solving: Strong analytical and problem-solving skills, especially in identifying recurring errors or operational inefficiencies.
- Communication: Excellent communication skills for effective collaboration across teams and for providing feedback on system improvements.
Stenn fosters a culture of inclusivity, respect, and collaboration where unique perspectives are valued. Join us to thrive and grow professionally and personally.
Company
Stenn
Stenn is a leading European FinTech company established in 2015, dedicated to connecting international Small and Medium-sized Enterprises (SMEs) with global financial systems. Stenn addresses a signif...