Victory E.

Key Skills

Software

Mindrift

Appen

Micro1

Mercor

Toloka

Other

CVAT

Top Subject Matter

AI data annotation and UI quality assurance for model training

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Image

Audio

Document

Top Task Types

RLHF

Classification

Text Generation

Text Summarization

Question Answering

Evaluation/Rating

Data Collection

Transcription

Red Teaming

Prompt + Response Writing (SFT)

Entity (NER) Classification

Freelancer Overview

AI Data Annotation Specialist (Contract) — Meridial (Invincible), Remote. Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of Lagos (2021) and Certificate, Datalens Africa (2026). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Data Annotation Specialist (Contract) — Meridial (Invincible), Remote

Evaluated and refined UI components to support AI model training and improve usability. Focused on ensuring visual aesthetics and interface correctness for data-labeling platforms. Supported troubleshooting of UI inconsistencies in complex labeling environments. • Reviewed UI components for training readiness and usability • Identified issues affecting labeling accuracy or workflow efficiency • Assisted backend engineers with UI-related fixes • Ensured quality standards for AI training outputs.

2025 - Present

AI Agent Trainer • Contractor

MindriftTextRLHF

As an AI Agent Trainer Contractor at Mindrift, I was responsible for annotating and reviewing conversational datasets for LLM training. I authored corrective annotations for biased or incoherent outputs while managing ambiguous cases through escalation paths. Additionally, I collaborated with prompt engineers and ML researchers to create targeted data collection strategies that enhanced model performance. • Coordinated annotation QA cycles and established KPIs to monitor data quality. • Led process documentation and reporting on dataset readiness for training. • Engaged in cross-functional collaboration to address edge-case scenarios. • Utilized Mindrift's proprietary and standard annotation software including CVAT, LabelStudio, and Prodigy.

2025 - Present

AI-Enhanced Web Developer

CVATClassificationRLHF

As a freelance AI-enhanced web developer, I delivered multiple client projects by leveraging AI to accelerate web development and improve coding efficiency. My responsibilities included refining model-generated outputs and engineering prompts to reduce debugging time. I also documented prompt templates and evaluation methodologies for team knowledge sharing. • Delivered six web development projects 65% faster through structured evaluation of AI-generated code. • Reduced debugging time by 70% using systematic prompt engineering approaches. • Created and documented reusable AI prompt templates for internal use. • Collaborated with other developers to integrate AI tools into workflow.

2024 - 2025

Data Annotator

OtherTextClassificationPrompt + Response Writing (SFT)

As a Data Annotator at Appen, I labeled multimodal datasets including text, images, and audio to meet strict quality thresholds. I participated in guideline revisions and reviewer syncs to refine the annotation process and clarify ambiguous instructions. My exposure to various annotation platforms allowed me to recommend improvements to internal QA tooling and project workflows. • Followed rigorous guidelines and consistently met project quality benchmarks. • Collaborated with reviewers to resolve ambiguous labeling scenarios. • Applied internal QA methodologies to improve annotation consistency. • Worked with platforms including Appen, Prodigy, and LabelStudio.

2024 - 2024

Prompt Engineer & Web Developer

CVATImageClassificationRLHF

In this role, I utilized prompt engineering to enhance the creation of web components and consistently delivered projects ahead of schedule. My duties included evaluating AI-generated outputs and providing detailed feedback to improve output relevance. I played a key role in optimizing workflows and reducing project revision cycles. • Applied structured prompt engineering techniques for component generation. • Completed projects 55% ahead of schedule by optimizing output workflows. • Evaluated AI outputs against quality benchmarks and provided feedback. • Reduced revision rounds by 50% through iterative process improvements.

2023 - 2024

Education

Work History