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Queenter joy Muthoni

@queenterjoymuthoni

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AI model trainer at OneForma who evaluated and ranked LLM responses for factuality, safety, and instruction-following.

Kenya

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What I'm looking for

I'm interested in medical AI evaluation, clinical content validation, healthcare data annotation, RLHF, and LLM response assessment, helping improve the reliability and safety of healthcare-focused AI systems.

At OneForma, I evaluated and ranked LLM responses for helpfulness, factuality, safety, instruction-following, reasoning quality, and tone. I tested complex prompts and flagged inconsistencies, hallucinations, edge-case failures, and bias risks.

I applied evaluation rubrics and comparative response analysis to support reinforcement learning workflows. My structured feedback contributed to model training and response quality review.

At RWS /Aligner, I participated in AI training and annotation projects, evaluating generated content against project guidelines. I also assisted with moderation, policy compliance, safety classification, and data validation.

At ScaleAI, I annotated audio and computer vision data, including transcription, speaker tagging, segmentation, and bounding boxes. I achieved 98 percent plus accuracy on gold-standard tasks and reduced downstream QA rejections by 25 percent through validation and review.

Experience

Work history, roles, and key accomplishments

Gen AI Model Trainer and AI Evaluation Specialist

OneForma

Jan 2026 - Sep 2026 (8 months)

Evaluated and ranked LLM responses for helpfulness, factuality, safety, instruction-following, reasoning quality, and tone. Provided detailed evaluator feedback to guide model training and optimization.

LLM Evaluation RLHF Prompt And Response Ranking Safety And Policy Alignment Fairness and Bias Auditing Content Moderation Analytical reasoning Guideline Interpretation

Data Annotator

Scale AI

Jan 2026 - Feb 2026 (1 month)

Labeled and reviewed audio datasets including ASR transcription, speaker diarization tagging, and intent classification. Performed computer vision annotation including segmentation, polygons, keypoints, and bounding boxes on complex datasets.

ASR Transcription Speaker Tagging Intent Classification Computer Vision Annotator Segmentation Polygon Keypoints Bounding Boxes Dataset Validation Quality Assurance

AI Data Annotator and Content Evaluator

RWS / Aligner

Participated in AI training and annotation projects involving text evaluation, response ranking, and quality review. Evaluated AI-generated outputs using detailed project guidelines and performance benchmarks.