I am a freelance Video Annotator with extensive experience in analyzing results produced by multimodal AI, as well as interpreting input text, pictures, and video using AI. I have worked on annotating large volumes of video, image, and audio data, using CVAT AI and internal proprietary tools, and ensuring high-quality outputs. I typically generate frame-level captions with precise action timing, label shot types and scene structure, and verify outputs against project guidelines to maintain data integrity. I am motivated by Twine’s mission to empower creators via AI. I am self-driven, capable of meeting daily and weekly goals, and comfortable collaborating with project managers and quality leads to refine guidelines and ensure consistency. I value attention to detail and cultural alignment, and I strive to deliver accurate annotations that align with project requirements and support model improvement.

Caleb Oyaro Nyarangi

I am a freelance Video Annotator with extensive experience in analyzing results produced by multimodal AI, as well as interpreting input text, pictures, and video using AI. I have worked on annotating large volumes of video, image, and audio data, using CVAT AI and internal proprietary tools, and ensuring high-quality outputs. I typically generate frame-level captions with precise action timing, label shot types and scene structure, and verify outputs against project guidelines to maintain data integrity. I am motivated by Twine’s mission to empower creators via AI. I am self-driven, capable of meeting daily and weekly goals, and comfortable collaborating with project managers and quality leads to refine guidelines and ensure consistency. I value attention to detail and cultural alignment, and I strive to deliver accurate annotations that align with project requirements and support model improvement.

Available to hire

I am a freelance Video Annotator with extensive experience in analyzing results produced by multimodal AI, as well as interpreting input text, pictures, and video using AI. I have worked on annotating large volumes of video, image, and audio data, using CVAT AI and internal proprietary tools, and ensuring high-quality outputs. I typically generate frame-level captions with precise action timing, label shot types and scene structure, and verify outputs against project guidelines to maintain data integrity.

I am motivated by Twine’s mission to empower creators via AI. I am self-driven, capable of meeting daily and weekly goals, and comfortable collaborating with project managers and quality leads to refine guidelines and ensure consistency. I value attention to detail and cultural alignment, and I strive to deliver accurate annotations that align with project requirements and support model improvement.

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Experience Level

Language

English
Advanced

Work Experience

Freelance Video Annotator at Micro 1 AI
June 1, 2025 - December 1, 2025
Annotated high-volume video clips daily using CVAT AI and internal proprietary tools, achieving project accuracy targets and maintaining guideline adherence. Generated frame-level captions with precise action timing and structured motion descriptions. Labeled shot type, camera angle, scene structure, and character interactions to improve metadata. Recorded action timings with an error margin below 0.15s to ensure temporal accuracy for downstream training. Reviewed coherence, style, and cultural alignment of video outputs and flagged hallucinations or inconsistencies to support higher-quality evaluations. Collaborated with project managers to adapt guidelines to project requirements.
AI Content Reviewer at TrustScale
November 1, 2024 - June 1, 2025
Audited AI-generated text for logical errors, hallucinations, and grammatical inconsistencies to strengthen model outputs. Performed quality checks to maintain dataset accuracy and consistency across evolving multimodal evaluation requirements. Flagged guideline deviations and contributed to ruleset updates, improving labeler alignment and reducing rework. Applied cultural and linguistic reasoning to resolve ambiguous cases and documented evaluation processes to support project managers.
Image Annotation Specialist at Fuzu
February 1, 2024 - November 1, 2024
Built bounding box and segmentation labels on large batches of images using Superb AI, enhancing model performance for object detection and scene understanding. Applied structured metadata to support preprocessing and improve annotation consistency. Conducted systematic reviews to maintain uniformity among annotations and reduce follow-up corrections. Optimized labeling workflows to improve throughput and collaborated with project leads to refine image-labeling guides for alignment across annotators.

Education

Bachelor of Science in Mathematics and Economics at Murang’a University of Technology
September 1, 2020 - August 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Media & Entertainment, Software & Internet, Professional Services