Christopher Ifeanyichukwu N.

Key Skills

Software

Appen

Top Subject Matter

LLM evaluation

chatbot training

STEM/coding/medicine contextual data

Top Data Types

Text

Image

Audio

Document

Top Task Types

Fine-tuning

Transcription

Freelancer Overview

AI Tutor — xAI (Human Data team for Grok chatbot training). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Appen. Education includes Master of Science, Northumbria University — London Campus (2026) and Bachelor of Science, Rauf Denktaş University (2024). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Evaluation, Rating, and Fine-tuning.

Labeling Experience

AI Tutor — xAI (Human Data team for Grok chatbot training)

Text

Annotated and labeled contextual data for xAI’s Grok chatbot training, supporting post-training improvements for Grok-3 and Grok-4. Generated and curated filtered datasets from public internet sources, third-party data, and user inputs to strengthen reasoning and tool-use behaviors. Performed quality-focused tutoring activities within the Human Data team to improve response relevance and consistency. • Contextual labeling across STEM, coding, and medicine domains • AI tutor duties including filtered dataset generation • Support for chatbot post-training initiatives • Contribution to multilingual and multimodal model readiness

2025 - 2025

Freelancer — AI Data Annotator (Appen speech data labeling)

AppenAudioTranscription

Labeled speech audio data for Appen voice AI projects to support conversational agent training. Annotated 200,000+ audio hours across 35+ languages, contributing to multilingual voice model development. Applied labeling standards to improve dataset quality for downstream speech processing. • 200,000+ audio hours labeled • Speech data labeling for voice AI • 35+ language coverage • Contribution to conversational agent training

2022 - 2022

Freelancer — AI Data Annotator (Appen image generator evaluation)

AppenImage

Evaluated generated images in Appen’s LLM Image Generator Evaluation case study, scoring quality, relevance, and safety compliance. Used evaluation outcomes to help refine multimodal AI model behavior and reduce unsafe or irrelevant generations. Completed high-volume assessment work according to project rubric. • 10,000+ generated image evaluations • Quality, relevance, and safety compliance rating • Multimodal evaluation for image generation • Ensured rubric-aligned judgments

2022 - 2022

Freelancer — AI Data Annotator (Appen multilingual LLM fine-tuning)

AppenTextFine-tuning

Provided supervised fine-tuning annotations for Appen’s Multilingual LLM Fine-Tuning project to improve model performance across languages. Produced large-scale labeled datasets to support downstream training workflows and multilingual capability enhancements. Followed project guidelines to ensure label quality for high-volume annotation tasks. • 100,000+ supervised fine-tuning annotations • Multilingual annotation for diverse linguistic contexts • LLM training data preparation • Compliance with annotation instructions

2022 - 2022

Education

Work History