Uche S.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

AI alignment

LLM evaluation

and RLHF for technical accuracy

Top Data Types

Text

Document

Top Task Types

Prompt + Response Writing (SFT)

RLHF

Freelancer Overview

AI Training & Data Strategy — Technical Analyst & Prompt Engineer. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose and Other. Education includes Bachelor of Science, Kaduna State University (2024) and N/A, True Light High School (2015). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Prompt + Response Writing (SFT), RLHF, and Evaluation.

Labeling Experience

Web3 Ecosystems — Community Lead & Governance Moderator

OtherText

Coordinated governance and community moderation activities that involved continuous review and auditing of user-generated content in a high-traffic Discord environment. Implemented automated moderation bots and performed manual auditing to ensure information quality and compliance with community standards. Synthesized user sentiment data to influence roadmap decisions for decentralized projects, improving downstream data quality and user feedback loops. • Supervised Discord community operations and moderated content. • Used automated moderation bots plus manual data auditing. • Audited and reviewed user sentiment signals for quality. • Translated sentiment and feedback into product/roadmap direction.

2024 - Present

AI Training & Data Strategy — Technical Analyst & Prompt Engineer

Don't discloseTextPrompt + Response Writing (SFT)

Used prompt engineering workflows to evaluate and fine-tune LLM outputs for technical accuracy and consistency. Applied reinforcement learning from human feedback (RLHF) using linguistic frameworks to improve safety and factual grounding in generated responses. Participated in AI alignment and high-fidelity training activities aimed at reducing hallucinations and improving reliability across technical queries. • Developed prompts and evaluation criteria for LLM technical correctness. • Tuned model behavior using RLHF-style feedback signals. • Improved safety and factual grounding through iterative testing. • Worked on AI alignment-focused training and response quality refinement.

2024 - Present

Grey Hub — Blockchain Developer

Don't discloseRLHF

Supported AI training and data-oriented work through RLHF-related evaluation and optimization practices within a blockchain-focused technical role. Performed data analysis to identify vulnerabilities impacting blockchain performance, which informed improvements to system behavior and reliability. Contributed to decentralized application (DApp) architecture and smart contract optimization that supported higher-quality data and operational stability. • Conducted systemic data analysis to detect blockchain performance vulnerabilities. • Optimized smart contracts to improve reliability of decentralized services. • Helped architect immutable data structures for dependable data handling. • Contributed to UI/UX and FinTech ecosystem functionality through technical improvements.

2022 - 2024

Education

Work History