Data Annotator

Job: Data Annotation & Python Automation Analyst Location: Charlotte, NC or Atlanta, GA Industry: Financial Services / Banking Employment Type: Contract, 12-24 months We are seeking a detail-oriented Data Annotation & Python Automation Analyst to support AI and data quality initiatives within a fast-paced financial services environment. This role will focus on annotating and validating datasets, reviewing AI model outputs, and developing Python-based automation solutions to improve data processing efficiency and accuracy. The ideal candidate will have strong hands-on Python coding experience, a background in data validation and QA, and experience working with both structured and unstructured data. Responsibilities • Annotate, label, and validate large datasets for AI and machine learning initiatives • Review and assess AI model outputs to ensure data accuracy and quality • Develop Python scripts for data cleanup, automation, and workflow optimization • Support enterprise data quality and governance initiatives • Work with structured and unstructured datasets across multiple platforms • Create documentation, reporting, and validation summaries for stakeholders • Collaborate with technical and business teams to improve data processes and standards Required Qualifications • 4+ years of professional experience in data analysis, data annotation, or data quality roles • Strong experience with data annotation and labeling processes • Hands-on Python coding experience, including automation scripting • Background in data validation, QA, and reporting/documentation • Experience working with structured and unstructured data • Strong analytical and problem-solving skills • Experience working in financial services or banking environments Preferred Qualifications • Exposure to Machine Learning concepts and workflows • NLP (Natural Language Processing) experience • Experience with Pandas and NumPy • Cloud platform exposure: AWS, Azure, or GCP • Experience working with JSON and APIs • Visualization/reporting tools such as Tableau or Power BI Nice to Have • Experience supporting AI-driven data initiatives • Familiarity with automation and workflow optimization best practices • Ability to work in Agile or fast-paced enterprise environments If you are passionate about data quality, automation, and AI-driven initiatives, we encourage you to apply.