Perpetual Z.

Key Skills

Software

Appen

Other

Top Subject Matter

Computer Vision image annotation and evaluation

AI/ML dataset annotation (text and multimodal)

LLM/Multimodal AI evaluation and red-teaming style reviews

Top Data Types

Image

Text

Top Task Types

Segmentation

Freelancer Overview

AI Annotator – Appen (Image annotation and AI output verification). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen and Other. Education includes Human Resource Officer, Brick Gold Homes and Properties Nigeria ( (2024). AI-training focus includes data types such as Image and Text and labeling workflows including Segmentation, Evaluation, and Rating.

Labeling Experience

AI Trainer / AI Evaluator – Outlier (Evaluation, ranking, and safety review)

OtherText

Evaluates AI-generated text and image responses for quality, accuracy, and relevance to the given prompts. Performs response ranking, fact-checking, safety reviews, and prompt assessment to score model outputs consistently. Flags factual inaccuracies, instruction-following issues, and image-region errors to support model improvement. • Ranked multiple responses based on quality criteria • Conducted factual verification and accuracy checks • Performed safety and prompt assessment reviews • Identified errors in instructions and image regions

2026 - Present

Freelance AI Data Annotator – Upwork (Text + image annotation and QA)

OtherText

Completed text and image annotation tasks for AI and machine learning dataset needs while meeting client requirements. Conducted quality review activities to ensure annotations were accurate and aligned to task rubrics. Delivered labeled outputs within deadlines as part of iterative annotation workflows. • Produced text labels for dataset enrichment • Performed image comparison and quality checks • Applied client-specific guidelines and review standards • Managed delivery timelines and accuracy validation

2024 - 2025

AI Annotator – Appen (Image annotation and AI output verification)

AppenImageSegmentation

Performed image annotation, image comparison, and boundary identification to support supervised dataset creation. Verified original image regions and references while following detailed project guidelines to maintain consistency. Evaluated AI-generated outputs against expected criteria to improve training data quality. • Annotated image regions for accurate boundaries • Compared images to identify differences and references • Validated object regions and ground-truth consistency • Ensured compliance with per-task annotation instructions

2024

Education

Work History