Image annotation
I have experience in image annotation using bounding boxes for object detection datasets.
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Data Annotator / Captioner— Rev (Remote). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Rev, Remotasks, and Sama. Education includes Certificate, Samaschool Training (2020) and Certificate, CAP Youth Empowerment Institute (2018). AI-training focus includes data types such as Text and Image and labeling workflows including Transcription, Segmentation, and Evaluation.
I have experience in image annotation using bounding boxes for object detection datasets.
As a Data Annotator and Captioner at Rev, I was responsible for captioning and annotating text and audio files to support natural language processing tasks. My primary focus was on generating accurate transcripts and annotating dialogue for supervised machine learning. I maintained consistent quality standards and contributed to the overall accuracy of the datasets. • Captioned and annotated transcripts for diverse audio content. • Adhered to established guidelines for text labeling and language quality. • Helped create labeled datasets for training language models. • Ensured over 98% accuracy in all completed tasks.
As a Data Annotation Specialist at Remotask, I performed labeling and segmentation for complex computer vision and automation projects. My work involved annotating images with specific boundaries and segmenting objects for AI model development. I closely followed client guidelines and maintained high annotation quality. • Executed segmentation and labeling for global AI clients. • Used annotation tools to mark images for computer vision purposes. • Supported creation of large-scale image datasets. • Ensured project delivery within quality benchmarks.
In my role as Agent and Quality Analyst at Samasource Kenya, I conducted audits and provided feedback to improve data annotation processes. I was responsible for evaluating labeled images and ensuring annotation tasks met established standards. My work contributed to a 20% increase in labeling accuracy on the project. • Performed quality control checks on annotated data. • Gave actionable feedback to annotation team members. • Ensured compliance with labeling guidelines. • Documented audit findings to support process improvement.
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