Joshua U.

Key Skills

Software

Other

iMerit

Mercor

Mindrift

OneForma

Toloka

HiveMind

Top Subject Matter

Frontier LLM evaluation

prompt engineering

technical/scientific QA

Top Data Types

Image

Audio

Document

Top Task Types

RLHF

Data Collection

Classification

Transcription

Evaluation/Rating

Prompt + Response Writing (SFT)

Text Summarization

Question Answering

Text Generation

Object Detection

Fine-tuning

Freelancer Overview

AI Data Annotator & Core Trainer (Outlier / Specialized AI Evaluation Platforms). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, Covenant University (2024). AI-training focus includes data types such as Text and labeling workflows including RLHF and Data Collection.

Labeling Experience

AI Data Annotator & Core Trainer (Outlier / Specialized AI Evaluation Platforms)

TextRLHF

Labeled, evaluated, and preference-ranked thousands of multi-turn model responses across factual accuracy, structural integrity, and helpfulness. Engineered and applied edge-case prompt rubrics to stress-test and align adversarial reasoning behaviors. Curated and translated complex scientific, mathematical, and logical content into structured conversational paths for improved training and benchmark outcomes. • Preference ranking and evaluation of multi-turn responses using strict dimensions. • Creation of 500+ high-friction edge-case prompts with logical boundaries for model auditing. • Development and cross-application of technical annotation rubrics with inter-annotator agreement validation. • Fact-checking, verification, and hallucination auditing to minimize model errors.

2025 - Present

Engineering Data Intern (Transmission Company of Nigeria - TCN)

OtherTextData Collection

Audited and categorized high-volume live grid telemetry streams by transforming noisy inputs into cleanly labeled datasets for diagnostic analysis. Translated dense multi-variable engineering logs into structured summaries used for tracking regional grid efficiencies. Identified anomalies and data inconsistencies in active logs using pattern recognition to prevent operational bottlenecks. • Labeling and categorization of live grid telemetry for analytical diagnostics. • Translation of engineering log entries into simplified structured data summaries. • Anomaly detection and data inconsistency auditing in operational streams. • Compilation of technical metadata and operational reports with clear documentation standards.

2024 - 2024

Education

Work History