Calvin J.

Key Skills

Software

Other

Clickworker

CloudFactory

Mindrift

OneForma

Remotasks

Snorkel AI

Toloka

Top Subject Matter

AI evaluation & quality assurance

data processing for classification tasks

Phishing detection

Top Data Types

Text

Image

Audio

Top Task Types

Classification

Text Generation

Object Detection

Fine-tuning

Red Teaming

Computer Programming/Coding

Data Collection

Evaluation/Rating

Text Summarization

Question Answering

Transcription

Freelancer Overview

AI-Adjacent Technical Work — Freelance IT & Data Specialist (Self-Employed). Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Bachelor of Science, KCA University (2026) and Professional Programme, ALX Africa (2024). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Phishing Detection Web Application (ML-Powered) — Project

OtherText

Built an ML-powered phishing detection web application that labels URLs as malicious or benign in real time. He curated training datasets and engineered features, then evaluated model outputs against ground-truth labels to measure accuracy and coverage. The work required identifying edge cases and validating performance using an external safety reference for correctness checks. • URL malicious/benign classification labeling workflow • Training dataset curation and feature engineering decisions • Output evaluation vs. ground-truth labels • Edge-case assessment using Safe Browsing API

2024 - 2024

AI-Adjacent Technical Work — Freelance IT & Data Specialist (Self-Employed)

OtherTextClassification

Freelance work supporting AI/data evaluation-like workflows through requirements gathering, structured documentation, and iterative feedback cycles for client deliverables. The role involved producing and validating outputs against stated requirements and quality standards, mirroring the judgment needed for annotation QA. He applied confidentiality and data quality controls while processing sensitive datasets used for downstream classification and analysis tasks. • Classification and rule-based processing of routine datasets • Quality control by reviewing deliverables vs. client requirements • Structured feedback generation for inconsistencies • Confidential handling of sensitive client data

2023 - 2024

Education

Work History