Elijah I.

Key Skills

Software

Labelbox

Other

Top Subject Matter

General AI/ML

STEM LLMs

Llms Domain Expertise

Top Data Types

Image

Text

Video

Top Task Types

Classification

Prompt + Response Writing (SFT)

Action Recognition

Entity (NER) Classification

Freelancer Overview

AI Data Specialist & Annotator. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Multimango, Labelbox, and Other. Education includes Bachelor of Medicine, Bachelor of Surgery, Obafemi Awolowo University (2021). AI-training focus includes data types such as Image, Text, and Video and labeling workflows including Classification, Prompt + Response Writing (SFT), and Action Recognition.

Labeling Experience

AI Data Specialist & Annotator

ImageClassification

As an AI Data Specialist & Annotator at Crowdgen, I executed multi-modal annotation tasks covering images, text, and video datasets to enhance machine learning accuracy. I performed high-accuracy audio transcription and phonetic labeling utilizing the Multimango platform. My responsibilities included using the ADAP platform for data labeling and comprehensive AI model evaluation. • Labeled and reviewed multi-format datasets for improved ML performance. • Applied structured QA processes across all media types. • Collaborated globally with teams to refine dataset reliability. • Delivered consistent annotation quality using established tools.

2025 - 2026

Data Annotator

LabelboxTextPrompt + Response Writing (SFT)

At Alignerr AI, I contributed to annotated LLM datasets focused on STEM disciplines to improve reasoning and factual accuracy. I ensured prompt-response accuracy using Labelbox and conducted multi-tier QA/QC reviews. My tasks involved maintaining strict compliance with project guidelines and instructional quality. • Annotated LLM training data for STEM subjects. • Used Labelbox for structured data annotation. • Conducted detailed, rubric-based quality reviews. • Ensured instructional and factual data integrity.

2025 - 2025

Data Annotation Specialist

LabelboxVideoAction Recognition

At Turing Company, I led video annotation initiatives for robotics perception and action recognition systems using Labelbox. I annotated specialized datasets such as Ego4D and VLA, working closely with robotics and CV teams. The role demanded high precision and multi-tier QA/QC enforcement. • Executed activity and object segmentation in robotics datasets. • Used Labelbox for detailed video annotation work. • Ensured label consistency with stringent QA checks. • Collaborated on annotation protocol enhancements.

2023 - 2025

AI Training Specialist (LLM Projects)

OtherTextPrompt + Response Writing (SFT)

As an AI Training Specialist for Outlier AI, I engineered complex prompts designed to stump LLMs and judge their outputs using rubrics. My responsibilities included generating adversarial data and providing detailed feedback to guide model improvements. I focused on enhancing model robustness, safety, and logical reasoning capabilities. • Authored challenging and adversarial LLM prompts. • Evaluated model outputs based on custom scoring rubrics. • Provided feedback to enhance iterative model performance. • Ensured all training data met high factual standards.

2023 - 2025

Freelance Data Annotation & AI Evaluator

OtherTextEntity (NER) Classification

As a Freelance Data Annotation & AI Evaluator at RWS, I annotated and evaluated text, audio, and image datasets for ML, ASR, and NLP use cases. Tasks included intent classification, sentiment analysis, and applying strict QA guidelines to multilingual projects. I validated labeled data to enhance its reliability for downstream models. • Delivered NER and sentiment labels on multilingual datasets. • Performed comprehensive QA on labeled data. • Evaluated audio and image data for ASR and ML projects. • Ensured annotation accuracy and guideline compliance.

2022 - 2024

Education

Work History