Ifechukwu Aniakor

Key Skills

Software

Labelbox

Scale AI

Appen

Toloka

CVAT

Label Studio

OneForma

Top Subject Matter

AI Training Data

Web Navigation

LLM outputs

Top Data Types

Text

Image

Video

Top Task Types

RLHF

Text Summarization

Classification

Data Collection

Prompt + Response Writing (SFT)

Segmentation

Fine-tuning

Question Answering

Text Generation

Function Calling

Freelancer Overview

Freelance AI Trainer & Data Labeler. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Scale AI, and Appen. Education includes Bachelor of Medical Laboratory Science, Ebonyi State University (2025). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Freelance AI Trainer & Data Labeler

LabelboxTextRLHF

As a Freelance AI Trainer & Data Labeler, I annotated diverse datasets including text, images, and web content for machine learning training applications. My work focused on web navigation labeling, providing RLHF feedback, evaluating search engine results, and maintaining high annotation accuracy. Using industry-standard platforms, I contributed structured data and insights to multiple AI projects at scale. • Labeled text, images, and web navigation data for AI/ML models. • Performed RLHF on LLM outputs to enhance response quality. • Utilized platforms like Labelbox, Scale AI, Appen, Toloka, and CVAT for annotation tasks. • Monitored and ensured accuracy above 95% in all deliverables.

As a Freelance AI Trainer & Data Labeler, I annotated diverse datasets including text, images, and web content for machine learning training applications. My work focused on web navigation labeling, providing RLHF feedback, evaluating search engine results, and maintaining high annotation accuracy. Using industry-standard platforms, I contributed structured data and insights to multiple AI projects at scale. • Labeled text, images, and web navigation data for AI/ML models. • Performed RLHF on LLM outputs to enhance response quality. • Utilized platforms like Labelbox, Scale AI, Appen, Toloka, and CVAT for annotation tasks. • Monitored and ensured accuracy above 95% in all deliverables.

2022 - Present

Web Content Reviewer & Quality Rater

AppenText

As a Web Content Reviewer & Quality Rater, I assessed web pages for content quality, user intent alignment, and navigation efficiency. I provided detailed written justifications and ratings to enhance AI-driven search engine results. This role required a systematic approach to annotation and explainable, auditable evaluations. • Evaluated and rated search engine results for intent and relevance. • Used standardized frameworks for consistent content annotation. • Submitted justifications to support explainable AI decisions. • Worked across both mobile and desktop search environments.

As a Web Content Reviewer & Quality Rater, I assessed web pages for content quality, user intent alignment, and navigation efficiency. I provided detailed written justifications and ratings to enhance AI-driven search engine results. This role required a systematic approach to annotation and explainable, auditable evaluations. • Evaluated and rated search engine results for intent and relevance. • Used standardized frameworks for consistent content annotation. • Submitted justifications to support explainable AI decisions. • Worked across both mobile and desktop search environments.

2021 - 2022

Education

Work History