Data Labeling
I have worked as a freelance annotator with RWS and CrowdGen, completing a wide range of tasks including image labeling (bounding boxes and segmentation), audio transcription, and text extraction.
Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
I have professional and freelance experience in data labeling and AI training data workflows, with a strong focus on accuracy, consistency, and scalable data processes. During my time as a Data Extraction Analyst at Innodata Lanka, I worked extensively on handling structured and unstructured datasets, ensuring high-quality annotation outputs to support downstream machine learning models. I have hands-on experience using industry-standard annotation platforms such as Labelbox, V7 Darwin, and Multimango, where I performed data labeling, validation, and quality control across diverse data types. My work involved designing efficient data workflows, maintaining annotation guidelines, and collaborating with cross-functional teams to meet strict quality benchmarks and project timelines. In addition to my full-time role, I have freelanced in data annotation and labeling projects, further strengthening my adaptability to different project requirements and annotation standards. I bring strong technical skills in Python, data analysis, and data management, which allow me to streamline annotation processes and identify inconsistencies or edge cases effectively. My background in environmental science and research also enhances my attention to detail and ability to interpret complex datasets, making me well-suited for high-precision AI training data tasks.
I have worked as a freelance annotator with RWS and CrowdGen, completing a wide range of tasks including image labeling (bounding boxes and segmentation), audio transcription, and text extraction.
Conducted extraction, transformation, and loading (ETL) of structured and unstructured data for analytics initiatives. Automated scripts and implemented workflows to enhance quality and consistency in data collection processes. Ensured adherence to data privacy regulations and supported business decision-making via actionable data insights. • Developed automated processes for high-throughput data gathering • Ensured accurate transformation and aggregation from diverse sources • Maintained detailed documentation of data methodologies • Collaborated with teams to define and uphold labeling quality standards
Bachelor of Science, Marine and Freshwater Sciences
Assistant Manager - Environmental
Data Extraction Analyst