Joshua Nnadi

Key Skills

Software

Remotasks

Top Subject Matter

Technology - AI Model Training & LLM Evaluation

Computer Vision - Image Classification & Autonomous Systems

E-commerce - Product Categorization & Customer Support

Top Data Types

Image

Text

Top Task Types

Classification

RLHF

Freelancer Overview

Results-driven AI Data Annotator with proven hands-on experience delivering high-accuracy labeling for Ego-OTS tasks and complex annotation projects on Outlier AI and Remotasks. Skilled at following detailed guidelines, critically evaluating AI outputs, identifying inconsistencies, and delivering structured feedback that measurably improves model performance. Strong expertise in precise data indexing, verification, and analysis, paired with excellent English communication and sharp critical reasoning skills. Reliable, independent remote professional who consistently produces top-quality work under flexible deadlines and excels in task-oriented environments.

Labeling Experience

AI Data Annotator (Freelance) | KGEN.ai - Web3

AudioTranscription

Emotional Voice Annotation: Read aloud provided text scripts while expressing different emotions (such as happy, sad, angry, and others). This involved recording voice clips with appropriate tone, intonation, and emotional delivery to create high-quality datasets for speech synthesis, emotion recognition, and multimodal AI models.

Emotional Voice Annotation: Read aloud provided text scripts while expressing different emotions (such as happy, sad, angry, and others). This involved recording voice clips with appropriate tone, intonation, and emotional delivery to create high-quality datasets for speech synthesis, emotion recognition, and multimodal AI models.

2025 - Present

AI Data Annotator (Freelance) | Outlier AI

TextRLHF

Grammar, Spelling, and Error Detection: Identified and corrected grammatical errors, spelling mistakes, and awkward phrasing in text data. Tasks included flagging issues and sometimes suggesting improved versions to enhance the quality of training datasets for language models. Feedback Rating & Scoring: Rated the quality of AI outputs and human-AI interactions on scales for accuracy, coherence, and usefulness. This helped refine models by quantifying preferences and identifying areas for improvement. Chatbot Response Evaluation & Ranking: Reviewed and ranked AI-generated responses to user prompts for relevance, accuracy, helpfulness, and safety. This involved comparing multiple outputs, providing detailed feedback, and helping improve LLM performance.

Grammar, Spelling, and Error Detection: Identified and corrected grammatical errors, spelling mistakes, and awkward phrasing in text data. Tasks included flagging issues and sometimes suggesting improved versions to enhance the quality of training datasets for language models. Feedback Rating & Scoring: Rated the quality of AI outputs and human-AI interactions on scales for accuracy, coherence, and usefulness. This helped refine models by quantifying preferences and identifying areas for improvement. Chatbot Response Evaluation & Ranking: Reviewed and ranked AI-generated responses to user prompts for relevance, accuracy, helpfulness, and safety. This involved comparing multiple outputs, providing detailed feedback, and helping improve LLM performance.

2025 - Present

AI Data Annotator (Freelance) | Remotasks

RemotasksVideoSegmentation

Ego-OTS (Egocentric Object Tracking & Segmentation) (Remotasks): Annotated egocentric video data for object tracking, segmentation, and interaction understanding. Tasks were mainly labeling object-hand interactions in first-person perspective videos.

Ego-OTS (Egocentric Object Tracking & Segmentation) (Remotasks): Annotated egocentric video data for object tracking, segmentation, and interaction understanding. Tasks were mainly labeling object-hand interactions in first-person perspective videos.

2025 - Present

AI Data Annotator (Freelance) | Sapien - Web3

ImageClassification

Image Classification: Categorized large volumes of images into specific classes or labels. This required consistent application of guidelines to train computer vision models effectively.

Image Classification: Categorized large volumes of images into specific classes or labels. This required consistent application of guidelines to train computer vision models effectively.

2025 - 2025

AI Data Annotator (Freelance) | Hub.ai - Web3

TextQuestion Answering

AI Response Generation & Training: Given various questions or prompts, I crafted thoughtful, high-quality written responses to help train AI models. The focus was on creating natural, detailed, and useful answers that contribute to improving large language models through real human-generated training data.

AI Response Generation & Training: Given various questions or prompts, I crafted thoughtful, high-quality written responses to help train AI models. The focus was on creating natural, detailed, and useful answers that contribute to improving large language models through real human-generated training data.

2025 - 2025

Education

Work History