Chinenye O.

Key Skills

Software

Telus

Toloka

Other

Top Subject Matter

LLM prompt and agent evaluation

code correctness verification

LLM response evaluation

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Segmentation

Freelancer Overview

Prompt Engineer (Data Labeling) — Stellar (11/2025 - Present). Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include GitHub, Toloka, and Other. Education includes Master of Science, Birmingham City University (2019) and Bachelor of Science, Madonna University (2011). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Computer Programming, Coding, and RLHF.

Labeling Experience

Prompt Engineer (Data Labeling) / Generalist

TextRLHF

I contributed to Large Language Model improvement by creating prompts and correcting model trajectories using reinforcement learning from human feedback. My role involved developing gold standard solutions and designing automatic outcome verifiers to enhance AI decision-making and problem-solving accuracy. Additionally, I evaluated and converted real-world code challenges into high-quality training data for model tuning. • Created complex prompts requiring external tool use • Designed and applied mathematical verifiers to validate model outputs • Improved AI decision pathways by gold trajectory mapping • Transformed GitHub pull requests into actionable coding evaluation tasks

2025 - Present

Data Annotator & Evaluation

TolokaTextRLHF

I refined language models by evaluating AI-generated responses for safety, accuracy, and helpfulness using reinforcement learning from human feedback techniques. I authored gold responses for complex prompts and participated in red teaming to uncover vulnerabilities. This process ensured the iterative improvement of language model weights and robustness. • Conducted response evaluation and granular feedback • Created ideal (gold) answers for advanced queries • Performed red teaming to identify model weaknesses • Used RLHF to improve LLM accuracy and safety

2026 - 2026

Data Annotator & Evaluation

OtherImageSegmentation

I executed semantic segmentation and keypoint annotation for computer vision model training across various datasets. This included high-precision labeling at the pixel and point level for applications in human pose recognition and object localisation. My work ensured models learned from finely annotated data and addressed complex visual challenges. • Performed pixel-level semantic segmentation • Labeled keypoints for pose estimation tasks • Enhanced data quality for vision model development • Supported both standard and edge-case image scenarios

2026 - 2026

Education

Work History