Spencer O.

Key Skills

Software

Other

Scale AI

Appen

Axiom AI

Clickworker

CrowdSource

CloudFactory

Data Annotation Tech

Deep Systems

Google Cloud Vertex AI

HiveMind

LabelImg

Label Studio

Micro1

OneForma

Toloka

Telus

Tagtog

Surge AI

Top Subject Matter

Large Language Models

English Language Tasks

Machine Learning

Top Data Types

Text

Audio

Image

Top Task Types

Transcription

Entity (NER) Classification

Classification

Text Generation

Question Answering

Text Summarization

Object Detection

Evaluation/Rating

Fine-tuning

Red Teaming

Freelancer Overview

AI Training & Annotation Specialist. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Arts, University of Nairobi (2016). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

AI Training & Annotation Specialist

TextText Generation

As an AI Training & Annotation Specialist, I annotated and labeled over 200,000 text, image, and audio data points with a consistent accuracy rate above 98%. My responsibilities included developing, testing, and rating hundreds of prompts to enhance LLM reliability while evaluating bias and accuracy. I performed entity labeling, intent classification, contextual review, and sentiment tagging on English language datasets. • Delivered large volumes of high-quality labeled data on schedule. • Developed and tested over 1,000 prompts for LLM improvement. • Reviewed and classified English text for entities, sentiment, and intent. • Reduced bias and hallucination mistakes through consistent evaluation and feedback.

2022 - Present

AI Content Reviewer & Prompt Evaluator

OtherAudioTranscription

In the role of AI Content Reviewer & Prompt Evaluator, I transcribed and annotated English audio recordings with a high degree of linguistic accuracy and performed time-stamping for data integrity. I validated audio labeling tasks, reviewed annotations, and contributed to language-focused linguistic projects, including NER and translation. I was also responsible for model evaluation to improve the quality of machine learning outputs. • Maintained a 97% agreement rate among annotators. • Conducted quality assurance reviews and corrected annotation errors. • Supported AI/ML projects through high-quality audio annotations. • Provided voice recordings for speech recognition and text-to-speech development.

2020 - 2022

Data Annotation Lead

Scale AITextEntity (NER) Classification

As Data Annotation Lead, I supervised text classification and Named Entity Recognition projects for conversational AI and virtual assistants. My primary role was ensuring data quality, guideline adherence, and timely delivery, while mentoring and training team annotators. By introducing workflow and QA improvements, I raised overall annotation quality from 89% to 97%. • Led team of 15 annotators for text entity recognition. • Developed onboarding materials and process improvements. • Applied internal QA scripts to speed up review. • Achieved significant increases in model precision and annotation accuracy.

2017 - 2019

Education

Work History