Quick S.

Key Skills

Software

Other

Top Subject Matter

LLM evaluation and AI training (prompt/response quality, safety, and reasoning)

Multimodal data annotation for machine learning (computer vision and NLP)

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Bounding Box

Segmentation

Classification

RLHF

Entity (NER) Classification

Freelancer Overview

Freelance AI Trainer & LLM Evaluator (Remote). Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Bachelor of Science, Jomo Kenyatta University of Agriculture and Technology (JKUAT). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Bounding Box.

Labeling Experience

Freelance AI Trainer & LLM Evaluator (Remote)

OtherText

Freelance AI Trainer and LLM Evaluator performing quality assessment of AI-generated outputs for accuracy, reasoning quality, safety, helpfulness, and factual consistency. Conducted comparative judgment and ranking workflows, including pairwise comparison of model responses, to improve overall model output quality. Provided prompt and response review feedback across domains such as reasoning, writing, research, and customer interactions. • Evaluated text responses for factual consistency and safety. • Performed response ranking and pairwise comparisons. • Reviewed prompts and model outputs to refine annotation guidelines. • Reported edge cases with actionable feedback to improve AI performance.

2023 - Present

Data Annotation & AI Data Specialist (Contract) - Remote

ImageBounding BoxSegmentation

No description provided.

2022 - 2023

Data Annotation & AI Data Specialist (Contract)

OtherImageBounding Box

Data Annotation & AI Data Specialist (Contract) annotating and validating multimodal datasets for machine learning systems. Produced structured labels including bounding boxes, classifications, transcriptions, metadata tags, and segmentation labels. Completed quality assurance reviews to reduce inconsistencies and support data preparation for NLP and computer vision projects. • Created bounding boxes and classification labels for images. • Generated segmentation labels and metadata tags. • Produced transcriptions and validated audio/text labeling outputs. • Conducted dataset QA audits to improve training data consistency.

2022 - 2023

Education

Work History