For employers

Hire this AI Trainer

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

LoginCreate account
Invite to Job
Odebode Stephen

Odebode Stephen

Data Labeler & AI Annotation Specialist | High-Accuracy, Quality-Focused AI Training Support| Data Analyst

NIGERIA flag
Lagos, Nigeria
$10.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

TextText

Top Label Types

Prompt Response Writing SFT
Classification
Action Recognition

Freelancer Overview

As a Freelance Data Labeler/Annotator on the Atlas – Capture & Label Platform, I specialize in producing high-accuracy, scalable annotations that directly support AI model training and performance. In the Easy Label Room (Goal-Oriented Labeling), I created clear, descriptive sentence-based labels focused strictly on observed tasks, avoiding assumptions and inferred intent. My work prioritized clarity, consistency, and adherence to guidelines, ensuring clean and reliable datasets optimized for machine learning applications. Within the Standard Label Room (Classic Annotation Workflow), I delivered detailed, atomic, action-based annotations in a structured, quality-controlled environment. I maintained strict formatting and hierarchical consistency while balancing precision and efficiency to meet platform review standards. My combined experience across both workflows demonstrates strong attention to detail, analytical accuracy, and the ability to adapt to different annotation methodologies while consistently producing high-quality results.

IntermediateEnglishYoruba

Labeling Experience

Data Labeler / Annotator (Freelance)

OtherTextClassificationAction Recognition
Created and delivered high-accuracy labels using descriptive sentences and action-focused annotation strategies on the Atlas Capture & Label platform. Produced clean, reliable annotations tailored for scalable AI model training by following detailed guidelines and best practices. Managed both goal-oriented and standard annotation workflows optimizing for clarity, structural consistency, and simplicity. • Generated labels with a focus on the performed task, avoiding assumption-based annotation • Balanced precision and speed, consistently meeting platform quality standards • Maintained annotation format and hierarchy where structurally critical • Prioritized reliable, simple outputs for effective AI training

Created and delivered high-accuracy labels using descriptive sentences and action-focused annotation strategies on the Atlas Capture & Label platform. Produced clean, reliable annotations tailored for scalable AI model training by following detailed guidelines and best practices. Managed both goal-oriented and standard annotation workflows optimizing for clarity, structural consistency, and simplicity. • Generated labels with a focus on the performed task, avoiding assumption-based annotation • Balanced precision and speed, consistently meeting platform quality standards • Maintained annotation format and hierarchy where structurally critical • Prioritized reliable, simple outputs for effective AI training

2025

LLM Data Annotator / AI Training Freelancer

OtherTextPrompt Response Writing SFT
Collaborated with Large Language Models (LLMs) as copilots to perform research and analysis tasks for AI workflows. Designed, tested, and refined prompts to increase AI output quality and relevance in remote freelance projects. Delivered high-accuracy, well-structured data for training and evaluating AI models in fast-paced, guideline-driven settings. • Applied best practices for evaluating LLM strengths and weaknesses • Adapted to diverse annotation, research, and evaluation tasks • Ensured clarity, consistency, and simplicity in data annotation • Maintained strict adherence to project labeling guidelines

Collaborated with Large Language Models (LLMs) as copilots to perform research and analysis tasks for AI workflows. Designed, tested, and refined prompts to increase AI output quality and relevance in remote freelance projects. Delivered high-accuracy, well-structured data for training and evaluating AI models in fast-paced, guideline-driven settings. • Applied best practices for evaluating LLM strengths and weaknesses • Adapted to diverse annotation, research, and evaluation tasks • Ensured clarity, consistency, and simplicity in data annotation • Maintained strict adherence to project labeling guidelines

2025

Education

P

Precious Cornerstone University

Bachelor of Science, Computer Science

Bachelor of Science
2020 - 2023

Work History

A

Abor ICT Development Initiatives

Lead Tutor, Data Analysis and Digital Marketing

Enugu State
2024 - Present
G

Gtextland

Digital Marketer

Lagos State
2023 - 2024