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Simeon A.

Simeon A.

Frontend Developer

Nigeria flagPort Harcourt, Nigeria

Key Skills

Software

Scale AIScale AI

Top Subject Matter

Software

Top Data Types

Computer Code ProgrammingComputer Code Programming

Top Task Types

Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

I have experience working with AI-related data through content analysis, annotation preparation, prompt engineering, and quality evaluation for generative AI systems. My background as a software developer with nearly four years of experience has given me strong attention to detail, analytical thinking, and the ability to follow complex guidelines consistently. I have worked extensively with text-based datasets, content categorization, data extraction, web research, and validation tasks, ensuring accuracy and consistency in outputs. I am also experienced in reviewing generated content for grammar, context, relevance, and compliance with specified requirements. In addition, I have been actively involved in creating and refining prompts for AI-generated content, including text, images, and video workflows. This has required evaluating model responses, identifying errors, improving data quality, and maintaining annotation consistency across different use cases. My technical skills in JavaScript, TypeScript, Node.js, React, web scraping, API integration, and data processing allow me to understand both the technical and linguistic aspects of AI training data. I am detail-oriented, adaptable, and committed to delivering high-quality, accurate labeling and evaluation work

Labeling Experience

Api design

TextTextComputer Programming/CodingComputer Programming/Coding

The project focused on designing, documenting, and validating APIs for web-based applications. The objective was to create structured, scalable, and developer-friendly API specifications while ensuring consistency in endpoints, request/response formats, authentication mechanisms, and error handling. The project involved reviewing API documentation, validating data structures, and ensuring compliance with predefined design standards. Specific Data Labeling Tasks: Annotation and categorization of API endpoints and functions. Classification of request and response data fields. Validation and labeling of API parameters, headers, and payload structures. Identification and tagging of authentication methods and error responses. Quality assurance reviews to ensure consistency and accuracy across API documentation datasets. Project Size and Quantity: The project involved reviewing and labeling thousands of API records, including endpoint definitions, request/response samples, metadata, and documentation components. Work was completed across multiple API modules and service categories, requiring continuous quality checks and validation. Approach Adhered To: A guideline-driven approach was followed to maintain labeling consistency and accuracy. Each dataset underwent structured review, annotation, validation, and quality assurance processes. Emphasis was placed on data integrity, adherence to project specifications, error detection, and maintaining high annotation accuracy. Regular audits and cross-validation procedures were performed to ensure the reliability and usability of the final labeled dataset for AI training and system development purposes.

2024 - 2025

Education

C

Cross River State University

Bsc, Software Engineering

Bsc
2021 - 2025

Work History

Z

Zaza Technologies

Frontend Developer Intern

Port Harcourt
2024 - 2024
S

Shoptiinga

Junior Frontend Developer

Port Harcourt
2024 - 2024