Emmanuel V.

Key Skills

Software

Other

Mercor

Micro1

Top Subject Matter

LLM output evaluation and AI training (Python/AI tools education)

Engineering data validation for labeling readiness (valve tags, line lists, P&IDs)

AI-assisted coding evaluation (frontend UI development)

Top Data Types

Document

Text

Top Task Types

Text Generation

Object Detection

Computer Programming/Coding

Freelancer Overview

Python / AI Tools Educator & Evaluator (Independent — Remote). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, University of Benin (2025). AI-training focus includes data types such as Computer Code, Programming, and Document and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

Frontend Developer — Intern (Siliconverse — Remote)

Other

Reviewed and modified AI-assisted coding outputs during prompt-driven frontend development. Practiced line-level judgment on the quality of AI-generated code by accepting, rejecting, and editing results based on correctness and maintainability. Reinforced consistent evaluation discipline through structured peer code reviews with written feedback. • Evaluated AI-generated UI code for quality and correctness • Edited/rejected outputs based on maintainability criteria • Provided and applied written feedback during code reviews • Used multiple AI coding assistants to compare output quality

2024 - Present

Engineering Data Validation Tool — VordLabs (Personal Project)

OtherDocument

Performed data labeling-adjacent quality checking for engineering datasets by detecting anomalies and inconsistencies in structured records. Applied both rule-based checks and statistical anomaly detection logic to flag irregular patterns that would affect downstream labeling. Produced structured dataset reports through CSV/JSON export using a Streamlit interface. • Flagged duplicates, invalid formats, and inconsistent naming • Detected broken sequences in engineering tag/line/diagram lists • Applied statistical anomaly detection beyond rules • Enabled structured dataset reporting via CSV/JSON export

2024 - Present

Python / AI Tools Educator & Evaluator (Independent — Remote)

Other

Evaluated AI-generated code and AI assistant responses for correctness, efficiency, instructional quality, and domain correctness. Provided structured written feedback to refine model outputs in a workflow analogous to RLHF annotation. Compared outputs from multiple AI coding tools and ranked selections based on accuracy and maintainability. • Evaluated responses for factual accuracy and coherence • Reviewed instruction following and best-practice compliance • Ranked/selected the most accurate coding solutions • Produced structured feedback for output refinement

2024 - 2024

Education

Work History