Data Annotator

Job description

About the role We're looking for a detail-obsessed Data Annotator to join our AI/Data team in-house. You'll be responsible for enriching merchant data and manually extracting information from documents such as invoices, bills, AI conversation logs, and KYC documents. Your work will directly feed into evaluating and improving the accuracy of our existing AI systems and fine-tuning our models - making this a high-impact, foundational role for our AI product quality. What you'll do Merchant Enrichment : Research, verify, and enrich merchant records (category, name logo) to maintain a clean and accurate merchant database. Document Extraction : Manually review and extract structured data from: Invoices and bills AI conversation transcripts/logs KYC (Know Your Customer) documents AI Accuracy Evaluation : Compare AI-generated outputs against manually annotated ground truth to identify errors, edge cases, and patterns of failure. Model Fine-Tuning Support : Build and maintain high-quality labeled datasets used to fine-tune and retrain our AI/ML models. Quality & Consistency : Follow (and help refine) annotation guidelines to ensure consistency, accuracy, and speed across large volumes of data. Reporting : Track annotation progress, flag recurring data quality issues, and share insights with the AI/product team. What we are looking for Exceptional eye for detail - you catch inconsistencies and errors that others miss. Experience working with fintech data (invoices, billing data, KYC/compliance documents, or similar financial/transactional data). Proficiency in Excel (formulas, pivot tables, data cleaning/validation). Basic knowledge of MySQL - comfortable writing simple queries to pull, filter, or check data. Basic knowledge of Python - comfortable with simple scripts for data handling (not a coding-heavy role, but scripting familiarity is a plus). Strong written communication and ability to document edge cases clearly. Comfortable with repetitive, high-precision work at volume without losing accuracy. Prior experience in data annotation, data labelling or data entry is a strong plus. Familiarity with AI/ML concepts (labelling for model training, RLHF, evaluation datasets). Experience with annotation tools or internal QA tooling. What's in it for you Contribute to building the Middle East’s most beloved fintech brand from the ground up Benefit from a role with significant ownership and accountability Thrive in a flexible hybrid culture with ample work-life balance Participate in exciting offsite events Competitive salary and equity Enjoy additional perks like travel allowances, gym memberships, and more About Alaan Alaan is the Middle East’s first AI-powered spend management platform, built to help businesses save time and money. Our all-in-one solution combines smart corporate cards, real-time expense tracking, AI-powered automation, seamless accounting integrations, and deep financial insights- designed to simplify finance operations and maximize control over company spend. Founded in 2022, Alaan is already the trusted partner of over 2000 leading businesses across the UAE and KSA, including G42, Careem, McDonald’s, Tabby, Al Barari, Rove Hotels, Rivoli, and CarSwitch. Together, our customers have saved over AED 100 million with Alaan. In just three years, Alaan has become the #1 expense management platform in the Middle East- and we’ve done it while becoming profitable. Alaan is also backed by Y Combinator and top global investors, including Peak XV (formerly Sequoia India & SEA), and built by a world-class team with experience from McKinsey, BCG, Goldman Sachs, Careem, Rippling, and other high-growth companies. This creates an environment where employees learn from top-tier talent while building at startup speed. We’re not just building software. We’re reimagining how finance works for modern businesses across the region.