Benson M.

Key Skills

Software

Other

Top Subject Matter

AI & Machine Learning data (text/NLP datasets)

AI training datasets (transcription)

Legal Services & Contract Review

Top Data Types

Text

Audio

Image

Document

Top Task Types

Transcription

Freelancer Overview

Remote AI Trainer / AI Response Evaluation & NLP Annotation (profile-based experience). Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Bachelor of Science in Finance, Zetech University (2018) and Bachelor of Arts in Economics and Statistics, University of Nairobi (2018). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

Remote AI Trainer / AI Response Evaluation & NLP Annotation (profile-based experience)

OtherText

Delivered AI response evaluation and quality rating for ML/LLM outputs, focusing on accuracy, helpfulness, and relevance to the user intent. Performed prompt engineering and testing by writing, running, and iterating prompts to improve large language model performance. Applied NLP labeling techniques such as sentiment classification and named-entity tagging to support downstream model training and dataset quality. • AI response evaluation (rating/ranking) for quality and helpfulness. • Sentiment analysis (tone/intent/emotional context classification). • Named Entity Recognition (people, places, organizations, dates). • Search relevance rating for dataset and retrieval relevance improvement.

2020 - Present

Research & Annotation Expert (transcription and dataset preparation)

OtherAudioTranscription

Performed audio-to-text transcription and formatting with attention to accuracy for training and research datasets. Ensured clean, consistent outputs suitable for downstream annotation, review, and model consumption. Maintained documentation and verification habits to reduce errors and support reliable dataset creation. • Transcription from audio to text with formatting control. • Accuracy-focused review to minimize transcription errors. • Structured outputs ready for further labeling or analysis. • Independent handling of multiple dataset tasks concurrently.

2018 - Present

Education

Work History