Philip Adebara

Key Skills

Software

Appen

Other

Lionbridge

Mercor

Micro1

OneForma

Remotasks

Surge AI

Toloka

Telus

Data Annotation Tech

Top Subject Matter

Large Language Models

Natural Language Processing

Audio Classification

Top Data Types

Text

Audio

Image

Top Task Types

Classification

Segmentation

Prompt Response Writing SFT

Evaluation Rating

Transcription

Data Collection

Text Summarization

Question Answering

Text Generation

Object Detection

Freelancer Overview

AI Data Annotator/LLM Evaluation Contributor. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Lionbridge, and Other. Education includes Bachelor of Science, University of Lagos (2025). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Annotator

LionbridgeAudioClassification

I annotated, labeled, and categorized audio clips to support machine-learning model training. My work contributed to product availability rating and content labeling tasks for improved search and e-commerce quality. I was responsible for evaluating data for accuracy and relevance according to platform guidelines. • Labeled audio data for training AI models in product search and recommendation. • Performed content rating and categorization for e-commerce datasets. • Used Lionbridge platform tools for annotation and quality checks. • Ensured compliance and accuracy in all annotated datasets.

I annotated, labeled, and categorized audio clips to support machine-learning model training. My work contributed to product availability rating and content labeling tasks for improved search and e-commerce quality. I was responsible for evaluating data for accuracy and relevance according to platform guidelines. • Labeled audio data for training AI models in product search and recommendation. • Performed content rating and categorization for e-commerce datasets. • Used Lionbridge platform tools for annotation and quality checks. • Ensured compliance and accuracy in all annotated datasets.

2025 - Present

AI Data Annotator/LLM Evaluation Contributor

AppenText

I contributed to the development of Large Language Models by reviewing and evaluating AI-generated text. My responsibilities included data accuracy and multi-step validation for quality assurance. I performed text data annotation, labeling, and evaluation to enhance language understanding and model performance. • Conducted LLM evaluation through detailed review of AI outputs. • Ensured label quality and model improvement through multi-step validation processes. • Used Appen tools to annotate, rate, and validate text content. • Assisted in the overall quality assurance for AI/ML language data.

I contributed to the development of Large Language Models by reviewing and evaluating AI-generated text. My responsibilities included data accuracy and multi-step validation for quality assurance. I performed text data annotation, labeling, and evaluation to enhance language understanding and model performance. • Conducted LLM evaluation through detailed review of AI outputs. • Ensured label quality and model improvement through multi-step validation processes. • Used Appen tools to annotate, rate, and validate text content. • Assisted in the overall quality assurance for AI/ML language data.

2025 - Present

Data Annotator

OtherImageClassification

I annotated and labeled image, text, and audio datasets for AI and ML model training. I maintained data accuracy and performed multi-step validation processes to ensure the highest quality of annotations. My collaboration with remote teams was essential in meeting project deadlines and accuracy standards. • Labeled various data types including images for computer vision projects. • Conducted quality control through validation and review processes. • Used RWS proprietary tools for data annotation and verification. • Worked closely with distributed teams to meet productivity and quality goals.

I annotated and labeled image, text, and audio datasets for AI and ML model training. I maintained data accuracy and performed multi-step validation processes to ensure the highest quality of annotations. My collaboration with remote teams was essential in meeting project deadlines and accuracy standards. • Labeled various data types including images for computer vision projects. • Conducted quality control through validation and review processes. • Used RWS proprietary tools for data annotation and verification. • Worked closely with distributed teams to meet productivity and quality goals.

2024 - 2025

Education

Work History