Victory Emmanuel

Key Skills

Software

Mindrift

Appen

Micro1

Mercor

Toloka

Top Subject Matter

Conversational AI

Large Language Models

Multimodal AI (Text, Image, Audio)

Top Data Types

Text

Image

Audio

Top Task Types

RLHF

Classification

Text Generation

Text Summarization

Question Answering

Evaluation Rating

Data Collection

Transcription

Red Teaming

Freelancer Overview

AI Agent Trainer • Contractor. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mindrift and Appen. Education includes Bachelor of Science, Unilag (2021). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including RLHF and Classification.

Labeling Experience

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.

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

Data Annotator

AppenTextClassification

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.

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 - 2025

Education

Work History