Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I’m a detail-oriented AI generalist focused on multimodal data annotation and quality evaluation across text, image, audio, and video. I’ve worked hands-on with high-volume labeling workflows, interpreting guidelines consistently and handling edge cases to keep datasets reliable for large-scale AI training pipelines. I also evaluate AI outputs—scoring prompt/response quality for coherence, factual accuracy, and policy alignment—and support model development by validating data and running thorough QA checks. Fluent in both English and Swahili, I bring strong communication skills for multilingual, remote, deadline-driven projects.…I’m a detail-oriented AI generalist focused on multimodal data annotation and quality evaluation across text, image, audio, and video. I’ve worked hands-on with high-volume labeling workflows, interpreting guidelines consistently and handling edge cases to keep datasets reliable for large-scale AI training pipelines. I also evaluate AI outputs—scoring prompt/response quality for coherence, factual accuracy, and policy alignment—and support model development by validating data and running thorough QA checks. Fluent in both English and Swahili, I bring strong communication skills for multilingual, remote, deadline-driven projects.

Bethwell Githaiga

Data Annotator, AI Trainer, AI Evaluator, +4





I’m a detail-oriented AI generalist focused on multimodal data annotation and quality evaluation across text, image, audio, and video. I’ve worked hands-on with high-volume labeling workflows, interpreting guidelines consistently and handling edge cases to keep datasets reliable for large-scale AI training pipelines. I also evaluate AI outputs—scoring prompt/response quality for coherence, factual accuracy, and policy alignment—and support model development by validating data and running thorough QA checks. Fluent in both English and Swahili, I bring strong communication skills for multilingual, remote, deadline-driven projects.…I’m a detail-oriented AI generalist focused on multimodal data annotation and quality evaluation across text, image, audio, and video. I’ve worked hands-on with high-volume labeling workflows, interpreting guidelines consistently and handling edge cases to keep datasets reliable for large-scale AI training pipelines. I also evaluate AI outputs—scoring prompt/response quality for coherence, factual accuracy, and policy alignment—and support model development by validating data and running thorough QA checks. Fluent in both English and Swahili, I bring strong communication skills for multilingual, remote, deadline-driven projects.

Available to hire

I’m a detail-oriented AI generalist focused on multimodal data annotation and quality evaluation across text, image, audio, and video. I’ve worked hands-on with high-volume labeling workflows, interpreting guidelines consistently and handling edge cases to keep datasets reliable for large-scale AI training pipelines.

I also evaluate AI outputs—scoring prompt/response quality for coherence, factual accuracy, and policy alignment—and support model development by validating data and running thorough QA checks. Fluent in both English and Swahili, I bring strong communication skills for multilingual, remote, deadline-driven projects.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Swahili

Fluent

Work Experience

AI Training & Data Annotation Contractor at Handshake AI

January 1, 2026 - Present

Performed multimodal data annotation across text, image, audio, and video tasks while maintaining accuracy rates above 95% against project quality benchmarks. Evaluated and scored AI-generated text and prompt/response pairs for coherence, factual accuracy, and guideline compliance to support model fine-tuning datasets. Labeled image and video data (e.g., object detection, segmentation, bounding boxes) using CVAT and Roboflow. Transcribed and reviewed audio datasets with accurate timing alignment and speaker labeling. Conducted QA reviews and data validation checks, flagging inconsistencies and edge cases to improve dataset reliability, while meeting strict turnaround deadlines in high-volume task queues.

Data Annotation & Content Evaluation Contributor at DataAnnotations.tech

January 1, 2025 - January 1, 2026

Annotated and categorized large volumes of text and image data using Labelbox and Scale AI to support supervised learning pipelines. Reviewed AI-generated content for policy compliance and moderation standards, reducing flagged-content error rates through consistent judgment. Conducted bilingual (English/Swahili) data review and validation to expand coverage for multilingual dataset projects.