Key Skills

Software

Appen

Remotasks

Lionbridge

Micro1

Top Subject Matter

Speech Recognition

Computer Vision

Nlp Domain Expertise

Top Data Types

Audio

3D Sensor

Image

Text

Document

Top Task Types

Transcription

Bounding Box

Prompt + Response Writing (SFT)

Entity (NER) Classification

Freelancer Overview

AI Data Annotator & Transcriptionist. Core strengths include Appen, Remotasks, and Lionbridge. Education includes Bachelor of Science, University of Jos (2022) and Bachelor of Science, University of Abuja (2018). AI-training focus includes data types such as Audio, 3D Sensor, and Image and labeling workflows including Transcription, Bounding Box, and Evaluation.

Labeling Experience

Conversational AI Trainer

Micro1TextEntity Ner Classification

Led annotation efforts for conversational AI systems focused on multi-turn dialogue, intent detection, and entity extraction for major clients. Reviewed annotator submissions and provided feedback, maintaining high inter-annotator agreement. Updated and maintained labeling guidelines to stay aligned with project objectives. • Led annotation of conversational data for AI deployment • Peer-reviewed team members’ labeled submissions • Delivered actionable feedback to improve annotation quality • Continuously updated annotation playbooks for consistency

Led annotation efforts for conversational AI systems focused on multi-turn dialogue, intent detection, and entity extraction for major clients. Reviewed annotator submissions and provided feedback, maintaining high inter-annotator agreement. Updated and maintained labeling guidelines to stay aligned with project objectives. • Led annotation of conversational data for AI deployment • Peer-reviewed team members’ labeled submissions • Delivered actionable feedback to improve annotation quality • Continuously updated annotation playbooks for consistency

2023 - Present

AI Training Specialist – RLHF & Code Evaluation

Evaluated and debugged Python and SQL code snippets generated by LLMs for accuracy and compliance. Ranked model completions based on reasoning quality and other key parameters. Built gold-standard responses for multimodal models, including support for image-to-text and video transcription analysis. • Assessed correctness and logic of code outputs from LLMs • Scored and ranked generated code completions • Created reference responses for coding and multimodal alignment tasks • Analyzed model outputs in multimodal coding environments

Evaluated and debugged Python and SQL code snippets generated by LLMs for accuracy and compliance. Ranked model completions based on reasoning quality and other key parameters. Built gold-standard responses for multimodal models, including support for image-to-text and video transcription analysis. • Assessed correctness and logic of code outputs from LLMs • Scored and ranked generated code completions • Created reference responses for coding and multimodal alignment tasks • Analyzed model outputs in multimodal coding environments

2023 - Present

Creative Writer & Prompt Engineer

TextPrompt Response Writing SFT

Created more than 300 prompts weekly using supervised fine-tuning and adversarial testing techniques to improve LLMs. Designed and conducted RLHF cycles to provide feedback and justifications for model outputs. Contributed both creative and technical gold-standard text to enhance model performance. • Composed creative and technical prompts for LLM evaluation • Conducted RLHF evaluation stages for multiple clients • Provided rubric-based explanations for LLM response scores • Supported model style, safety, and content accuracy efforts

Created more than 300 prompts weekly using supervised fine-tuning and adversarial testing techniques to improve LLMs. Designed and conducted RLHF cycles to provide feedback and justifications for model outputs. Contributed both creative and technical gold-standard text to enhance model performance. • Composed creative and technical prompts for LLM evaluation • Conducted RLHF evaluation stages for multiple clients • Provided rubric-based explanations for LLM response scores • Supported model style, safety, and content accuracy efforts

2021 - Present

Quality Assurance Analyst – AI Datasets

LionbridgeImage

Performed comprehensive quality audits on multimodal datasets, supporting Google and Microsoft NLP projects. Built error-tracking dashboards and facilitated the onboarding and mentorship of new annotators through virtual training. Ensured rigorous quality assurance and increased first-pass yield in annotation workflows. • Executed quality control on text, image, and audio data • Developed annotation process improvement tools • Provided training on annotation tools and project guidelines • Reduced edge-case and annotation errors through auditing

Performed comprehensive quality audits on multimodal datasets, supporting Google and Microsoft NLP projects. Built error-tracking dashboards and facilitated the onboarding and mentorship of new annotators through virtual training. Ensured rigorous quality assurance and increased first-pass yield in annotation workflows. • Executed quality control on text, image, and audio data • Developed annotation process improvement tools • Provided training on annotation tools and project guidelines • Reduced edge-case and annotation errors through auditing

2022 - 2023

Data Labeling & Annotation Associate

Remotasks3D SensorBounding Box

Labeled LiDAR point clouds and 2D/3D bounding boxes to support autonomous vehicle perception systems. Categorized and tagged large text corpora for sentiment analysis, intent classification, and named entity recognition. Maintained high throughput and top-quality scores on all annotation audits. • Drew bounding boxes and segmentation masks on LiDAR data • Conducted entity labeling and classification for text datasets • Upheld 99% quality in spot-check annotation audits • Delivered consistent daily labeling volumes

Labeled LiDAR point clouds and 2D/3D bounding boxes to support autonomous vehicle perception systems. Categorized and tagged large text corpora for sentiment analysis, intent classification, and named entity recognition. Maintained high throughput and top-quality scores on all annotation audits. • Drew bounding boxes and segmentation masks on LiDAR data • Conducted entity labeling and classification for text datasets • Upheld 99% quality in spot-check annotation audits • Delivered consistent daily labeling volumes

2020 - 2022

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Education

Work History