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Melissa Njuguna

@melissanjuguna

AI Data Specialist at Outlier AI evaluating LLM outputs and annotating image and video datasets with 98.5% average accuracy.

Kenya
Message

At Outlier AI, I evaluated and ranked LLM-generated responses for factual precision, hallucinations, tone, safety, and constraint satisfaction. I also documented edge cases to help project leads update annotation guidelines and taxonomies.

As a Senior AI Data Specialist at Outlier AI, I annotated image and video datasets using bounding boxes, attribute tagging, object tracking, and segmentation. I conducted quality audits and maintained an accuracy rating above 98%.

In my AI Data Annotator & Multilingual Reviewer work at Outlier AI, I reviewed multilingual translations for semantic alignment and localized context. I also labeled text for NER, sentiment, and semantic classification, and annotated visual datasets with challenging conditions such as occlusions and low lighting.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

BF

Bachelor's Degree / Relevant Field

Bachelor's Degree, Data Evaluation, Language & Information Systems

Bachelor's degree with a focus on Data Evaluation, Language & Information Systems.

Tech stack

Software and tools used professionally

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