For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
C
Chukwuebuka Obi

Chukwuebuka Obi

AI Trainer

Nigeria flagLagos, Nigeria
$30.00/hrExpertDataloopCVATLabelbox

Key Skills

Software

DataloopDataloop
CVATCVAT
LabelboxLabelbox
LabelImgLabelImg
Label StudioLabel Studio
Micro1
OneFormaOneForma
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
Scale AIScale AI
Snorkel AISnorkel AI
Internal/Proprietary Tooling
AWS SageMakerAWS SageMaker

Top Subject Matter

AI Image Generation
QA for Machine Learning
Large Language Models

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
SegmentationSegmentation
Text GenerationText Generation
Text SummarizationText Summarization
RLHFRLHF
Fine-tuningFine-tuning
Red TeamingRed Teaming
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
ClassificationClassification

Freelancer Overview

I have over four years of experience in the AI training data space, I have worked across the full spectrum of data labeling, from text and image annotation to audio, video, and multimodal evaluation. At xAI, I contributed directly to the development of Grok by validating large datasets, running prompt analysis, and conducting edge case testing to expose model weaknesses. I also played a role in shipping Grok 4 and the Grok Imagine feature, delivering data that fed directly into product decisions. At Hugo Technologies, I audited over 2,000 annotated prompts for large language models while maintaining a quality standard above 95%, and helped drive a 15% improvement in annotation speed through process and tooling contributions. Earlier work includes annotating over 10,000 text datasets for NLP model training and segmenting more than 3,000 images for autonomous vehicle recognition systems. What sets me apart is the combination of hands-on labeling depth and quality assurance leadership. At Abaka AI, I evaluate and rank AI-generated image outputs using structured scoring criteria and produce QA documentation that captures failure patterns to guide model improvement. I have also trained new annotators, built evaluation frameworks, and implemented feedback systems that help maintain consistency at scale. My toolkit spans platforms including Labelbox, Dataloop, and CVAT, and my background in data science gives me the analytical grounding to assess outputs with both precision and context.

ExpertEnglishYorubaIgbo

Labeling Experience

AI Trainer

Image
As an AI Trainer at Abaka AI, I evaluated AI-generated and edited images for compliance with project guidelines and prompt intent. I conducted comparative reviews and rankings of AI image outputs, ensuring key subject and compositional elements remained consistent. I produced clear quality assurance documentation and flagged patterns needing improvement. • Evaluated final images against rubrics for quality and user intent • Conducted comparative and batch review of image completions • Assessed visual consistency, realism, and edit effectiveness • Generated QA documentation and safety checks with justifications

As an AI Trainer at Abaka AI, I evaluated AI-generated and edited images for compliance with project guidelines and prompt intent. I conducted comparative reviews and rankings of AI image outputs, ensuring key subject and compositional elements remained consistent. I produced clear quality assurance documentation and flagged patterns needing improvement. • Evaluated final images against rubrics for quality and user intent • Conducted comparative and batch review of image completions • Assessed visual consistency, realism, and edit effectiveness • Generated QA documentation and safety checks with justifications

2025 - Present

AI Tutor

Text
As an AI Tutor at xAI, I labeled and categorized large multimodal datasets, including text, images, audio, and video, to support machine learning and generative AI model training. I validated data accuracy and performed prompt analysis and edge-case testing to enhance model performance. I also trained new tutors and contributed to key generative AI feature launches. • Curated and labeled large datasets for LLMs and generative AI • Performed QA and comparative review on multi-modal data • Conducted prompt analysis and edge-case assessments • Implemented tutor training and documentation processes

As an AI Tutor at xAI, I labeled and categorized large multimodal datasets, including text, images, audio, and video, to support machine learning and generative AI model training. I validated data accuracy and performed prompt analysis and edge-case testing to enhance model performance. I also trained new tutors and contributed to key generative AI feature launches. • Curated and labeled large datasets for LLMs and generative AI • Performed QA and comparative review on multi-modal data • Conducted prompt analysis and edge-case assessments • Implemented tutor training and documentation processes

2025 - 2025

Machine Learning Quality Analyst

Text
As a Machine Learning Quality Analyst at Hugo Technologies, I provided high-quality annotated data to support LLM and NLP model training. My responsibilities included evaluating the quality and relevance of prompt annotations and analyzing chat interactions generated by the AI. I conducted thorough audits to ensure compliance and high-quality standards in data labeling processes. • Annotated and analyzed LLM prompts for NLP models • Evaluated chat-based conversational data for AI improvement • Performed audits to maintain high data quality • Collaborated with raters and stakeholders for prompt issue resolution

As a Machine Learning Quality Analyst at Hugo Technologies, I provided high-quality annotated data to support LLM and NLP model training. My responsibilities included evaluating the quality and relevance of prompt annotations and analyzing chat interactions generated by the AI. I conducted thorough audits to ensure compliance and high-quality standards in data labeling processes. • Annotated and analyzed LLM prompts for NLP models • Evaluated chat-based conversational data for AI improvement • Performed audits to maintain high data quality • Collaborated with raters and stakeholders for prompt issue resolution

2023 - 2023

Machine Learning Data Annotator

TextPrompt Response Writing SFT
As a Machine Learning Data Annotator, I solved and annotated a variety of math, English, and physics problems for LLM training. I specialized in prompt annotation and engineered responses to fine-tune conversational AI and NLP models. I analyzed over 10,000 text datasets for quality and factual accuracy. • Created annotated training data for Meta LLMs and chatbots • Crafted linguistically and factually-accurate prompts and responses • Improved annotation tools and team feedback processes • Ensured large-scale, high-quality text data for NLP models

As a Machine Learning Data Annotator, I solved and annotated a variety of math, English, and physics problems for LLM training. I specialized in prompt annotation and engineered responses to fine-tune conversational AI and NLP models. I analyzed over 10,000 text datasets for quality and factual accuracy. • Created annotated training data for Meta LLMs and chatbots • Crafted linguistically and factually-accurate prompts and responses • Improved annotation tools and team feedback processes • Ensured large-scale, high-quality text data for NLP models

2021 - 2023

Data Annotator (Project: LLM Conversational Instruct)

TextPrompt Response Writing SFT
As a contributor to the LLM Conversational Instruct project, I generated factually accurate and grammatically correct prompt responses for conversational AI training. I ensured data quality and enriched conversational model datasets. My efforts directly improved dialogue and interaction for LLM-based systems. • Authored high-quality prompts and structured responses • Focused on factual correctness and language accuracy • Supported LLM improvement for conversational quality • Enhanced training dataset through targeted contributions

As a contributor to the LLM Conversational Instruct project, I generated factually accurate and grammatically correct prompt responses for conversational AI training. I ensured data quality and enriched conversational model datasets. My efforts directly improved dialogue and interaction for LLM-based systems. • Authored high-quality prompts and structured responses • Focused on factual correctness and language accuracy • Supported LLM improvement for conversational quality • Enhanced training dataset through targeted contributions

Not specified

Education

U

University of Nigeria, Nsukka

Bachelor of Engineering, Electronic Engineering

Bachelor of Engineering
2010 - 2025
A

ALX Africa (Explore AI)

Certificate in Data Science, Data Science

Certificate in Data Science
2023 - 2024

Work History

U

Union Bank of Nigeria

Data Analyst

Lagos
2020 - 2021