David Wambaire

Key Skills

Software

Appen

Scale AI

Toloka

Mercor

Clickworker

iMerit

Micro1

Mindrift

OneForma

Remotasks

Top Subject Matter

General Language Understanding

Finance & Payments

AI Model Evaluation & Content Moderation

Top Data Types

Text

Document

Image

Top Task Types

RLHF

Prompt + Response Writing (SFT)

Text Generation

Object Detection

Classification

Bounding Box

Freelancer Overview

AI Training Specialist (RLHF, LLM Evaluation, Annotation). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen and Scale AI. My work focuses on identifying hallucinations, inconsistencies, and edge cases in model outputs, and providing structured feedback to improve model alignment, quality, and reliability. I am experienced in high-volume, remote AI training environments and comfortable working independently while meeting quality benchmarks and turnaround expectations. Education includes Bachelor of Economics and Statistics, Kenyatta University (2018). AI & Robotics training from IBM Watson Labs. AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

AI Training Specialist (RLHF, LLM Evaluation, Annotation)

AppenTextRLHF

As an AI Training Specialist, I evaluated and annotated over 1,000 AI-generated text outputs across reasoning, prompt-response grading, and classification tasks. I maintained a high annotation accuracy rate exceeding 95% and applied structured feedback and RLHF workflows. I contributed significantly to model improvement through edge case identification, hallucination detection, and strict quality assurance measures. • Conducted prompt evaluation, response rating, and model alignment for LLMs. • Provided structured feedback and collaborated globally on model refinement tasks. • Used tools such as Appen, MTurk, and Internal/Proprietary Tooling for annotation. • Managed independent freelance responsibilities and maintained high-volume output.

As an AI Training Specialist, I evaluated and annotated over 1,000 AI-generated text outputs across reasoning, prompt-response grading, and classification tasks. I maintained a high annotation accuracy rate exceeding 95% and applied structured feedback and RLHF workflows. I contributed significantly to model improvement through edge case identification, hallucination detection, and strict quality assurance measures. • Conducted prompt evaluation, response rating, and model alignment for LLMs. • Provided structured feedback and collaborated globally on model refinement tasks. • Used tools such as Appen, MTurk, and Internal/Proprietary Tooling for annotation. • Managed independent freelance responsibilities and maintained high-volume output.

2024 - Present

Data & AI Operations Analyst (Data Validation, QA for AI Training)

Scale AIText

As part of a Data & AI Operations Analyst role, I led large-scale data validation and QA in transactional datasets. My work ensured 99%+ accuracy and developed pattern recognition and anomaly detection skills applicable to AI evaluation. I reviewed and validated over 10,000 data points, leveraging digital platforms and automation tools. • Applied QA standards and evaluated large volumes of text-based financial data. • Utilized tools such as Excel and Google Sheets, and was familiar with Scale AI workflows. • Focused on financial data subject matter with an emphasis on accuracy. • Developed and reported process optimizations to senior management.

As part of a Data & AI Operations Analyst role, I led large-scale data validation and QA in transactional datasets. My work ensured 99%+ accuracy and developed pattern recognition and anomaly detection skills applicable to AI evaluation. I reviewed and validated over 10,000 data points, leveraging digital platforms and automation tools. • Applied QA standards and evaluated large volumes of text-based financial data. • Utilized tools such as Excel and Google Sheets, and was familiar with Scale AI workflows. • Focused on financial data subject matter with an emphasis on accuracy. • Developed and reported process optimizations to senior management.

2021 - 2023

Education

Work History