Emmanuel M.

Key Skills

Software

Label Studio

Top Subject Matter

AI-generated code evaluation and technical prompt QA

Cybersecurity research evaluation and technical documentation

Web development AI output evaluation and coding guidance validation

Top Data Types

Document

Computer Code Programming

Image

Top Task Types

Prompt + Response Writing (SFT)

Computer Programming/Coding

Classification

Object Detection

Question Answering

Freelancer Overview

IT Trainee — Aptech Computer Education (Code annotation & evaluation training). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Science, University of Nigeria, Nsukka (2026). AI-training focus includes data types such as Computer Code, Programming, and Document and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Web Development Projects — Portfolio / Business & E-commerce Sites (AI output evaluation supported)

Prompt + Response Writing (SFT)

Built full-stack web development projects across multiple domains, supporting the evaluation and annotation of web development and coding AI outputs. Used structured technical understanding to validate AI-generated guidance and implementation details in the context of business and e-commerce development. Applied practical QA thinking to ensure technical outputs align with expected web development behavior and requirements. • Reviewed AI-generated coding/web development outputs against expected functionality • Supported domain-specific annotation of coding guidance and implementation details • Applied quality checks to ensure instruction and requirement alignment • Produced and refined technical artifacts consistent with evaluation/rubric thinking

2025 - Present

Final Year Project — DoS Attack Simulation & Network Performance Analysis (evaluation-oriented research documentation)

Document

Conducted literature review and synthesis to assess factual accuracy and evaluate the quality of sources related to network security concepts. Produced structured technical writing that can support dataset documentation, evidence-based labeling guidelines, and review criteria for AI training. Demonstrated the ability to judge clarity, correctness, and reliability of technical information used in evaluation contexts. • Reviewed academic materials to evaluate factual correctness and source quality • Synthesized findings into structured documentation suitable for training/evaluation use • Applied critical thinking to determine reliability of technical claims • Produced multi-chapter technical writing to communicate evaluation criteria

2025 - 2026

IT Trainee — Aptech Computer Education (Code annotation & evaluation training)

Provided Python and JavaScript training focused on enabling accurate code annotation and evaluation of AI-generated code outputs. Completed structured assessments aligned to precision, instruction-following, and quality standards when reviewing modeled responses to technical prompts. Applied rubric-driven review to ensure outputs met expected requirements and documentation quality. • Annotated and evaluated AI-generated code for correctness and adherence to instructions • Practiced structured assessment workflows with quality/accuracy expectations • Reinforced guideline-following and consistency habits during evaluation • Supported technical documentation practices relevant to AI training pipelines

2025 - 2025

Education

Work History