Dane Pulley

Detail-oriented and dedicated Data Annotation Specialist with over four years of hands-on experience supporting machine learning and AI development pipelines. Proven ability to deliver high-accuracy annotations across complex and varied datasets including image classification, object detection, semantic segmentation, and natural language processing. Adept at working independently on remote projects while maintaining rigorous quality standards and meeting tight deadlines.

Passionate about contributing to data-driven innovation through precision and consistency.

Expert Data Annotator at Outlier – Scale AI (2021-01 – 2024-12)

Data Annotator at Remo Tasks (2020-02 – 2023-05)

• Contributed to over 100 diverse annotation projects spanning image classification, object detection, semantic segmentation, and natural language processing tasks.
• Operated a range of annotation tools and platforms, including Labelbox, Supervisely, and VGG Image Annotator, to produce accurate and consistent labeled datasets.
• Maintained high accuracy and consistency throughout all projects, regularly meeting or exceeding established quality benchmarks and client expectations.
• Participated in ongoing training sessions to stay current with evolving annotation methodologies, tooling updates, and industry best practices.
• Contributed to the drafting and refinement of annotation guidelines, helping to streamline workflows and strengthen quality control processes across the team.