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Kelvin N.

Kelvin N.

AI Data Trainer / Model Evaluator (Freelance, Remote)

Kenya flagNairobi, Kenya

Key Skills

Software

LabelboxLabelbox
MercorMercor

Top Subject Matter

Prompt engineering
NLP dataset annotation
Writing and QA industry

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

TranscriptionTranscription
Question AnsweringQuestion Answering
Object DetectionObject Detection
ClassificationClassification
Evaluation/RatingEvaluation/Rating
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Data CollectionData Collection
Text SummarizationText Summarization
Text GenerationText Generation

Freelancer Overview

AI Data Trainer / Model Evaluator (Freelance, Remote). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include N and A. Education includes Bachelor of Science, Kenyatta University (2019). AI-training focus includes data types such as Text and labeling workflows including RLHF and Entity (NER) Classification.

Labeling Experience

AI Data Trainer / Model Evaluator (Freelance, Remote)

TextTextRLHFRLHF

Evaluated AI-generated responses for accuracy, relevance, and safety to support RLHF training and model improvement. Ranked and analyzed model outputs to identify issues and guide preference learning. Performed quality assessment by detecting hallucinations, bias, and factual errors in response content. • Ranked outputs for RLHF training • Detected hallucinations, bias, and factual inaccuracies • Designed prompt tests for reasoning and instruction-following • Assessed responses for safety and overall quality

2024 - Present

Data Annotation Specialist (Contract, Remote)

TextTextEntity (NER) ClassificationEntity (NER) Classification

Annotated NLP datasets including classification, sentiment analysis, and entity recognition. Followed labeling standards and applied quality assurance processes to maintain consistency across labeled data. Contributed to dataset quality by ensuring labels were accurate and reliable for downstream NLP tasks. • Labeled data for classification and sentiment analysis • Performed entity recognition (NER) annotation • Maintained consistency and accuracy via QA • Ensured high-quality labeling across remote datasets

2024 - 2025

Education

K

Kenyatta University

Bachelor of Science, Information Technology

Bachelor of Science
2019 - 2019

Work History

F

Freelance

AI Model Evaluator (Freelance)

Mombasa
2024 - Present
F

Freelance

LLM Evaluation Specialist (Freelance)

Mombasa
2024 - 2025