Derrick Sule

Detail-oriented Data Annotator with experience labeling, categorizing, and validating data across text, image, audio, and video formats. Skilled in AI training support, content evaluation, quality assessment, and prompt-based tasks. Delivers accurate, consistent annotations to improve machine learning model performance. Strong attention to detail, fast learner, and able to follow complex instructions.

Data Annotator - Digital Divide Data (DDD) - Kenya

(2022-01 - 2024-12)

• Labeled and annotated large datasets for AI training (text, images, speech).
• Verified and corrected data to maintain 95%+ dataset accuracy.
• Evaluated AI-generated text for relevance, clarity, tone, and safety.
• Executed quality assurance checks and improved annotation consistency.
• Collaborated with team leads to refine annotation guidelines.

AI Data Trainer - Sama Kenya (formerly Samasource) - Kenya

(2020-01 - 2022-12)

• Performed object detection, bounding boxes, and segmentation for computer vision models.
• Delivered high-accuracy annotations for autonomous vehicle projects.
• Handled sensitive content moderation and classification tasks.
• Achieved 97–99% accuracy scoring across weekly QA reviews.

Freelance Data Annotator - Remote (Appen, Clickworker, Remotasks, Upwork) - Remote

(2019-01)

• Delivered text classification, sentiment analysis, image labeling, and audio transcription.
• Ranked and evaluated machine learning responses based on project-specific guidelines.
• Completed 100+ micro-projects with excellent client feedback.
• Supported dataset development for small AI research projects.

Diploma - Information Technology - Kenyatta University (2017-01 - 2019-12)

KCSE Certificate - ST MARY'S SCHOOL YALA (2016-12)