Data Annotation
Remove objects from an image, and write a prompt to bring the objects back.
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I have hands-on experience in data labeling and AI training workflows through freelance and project-based work on platforms such as Mercor and Outlier, where I contributed to data annotation, labeling, and quality evaluation tasks. My work involves applying detailed guidelines, ensuring consistency, and maintaining high-quality outputs across different types of datasets. I have also participated in volunteer data annotation projects on Zooniverse, where I contributed to collaborative, research-oriented labeling initiatives. In addition to my annotation experience, I bring a strong analytical background supported by my training in data analysis (Python, SQL, Excel, and Power BI) and experience working with structured datasets in both public-sector and project environments. This allows me to approach labeling tasks with a high level of attention to detail, critical thinking, and data quality awareness. I am comfortable working with complex instructions, identifying edge cases, and delivering reliable, scalable annotations for AI model training.
Remove objects from an image, and write a prompt to bring the objects back.
Maintained high accuracy and throughput in large-scale annotation workflows, evaluating and comparing two model responses on the safety requirements.
Bachelor of Science, Rural Development
Au Pair
School Monitor