For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
V
Vegher Sunday

Vegher Sunday

AI Data Annotator | LLM Behavior & Adversarial Testing | Data QA

Nigeria flagRemote, Nigeria
$15.00/hrIntermediateCrowdsourceMicro1Other

Key Skills

Software

CrowdSourceCrowdSource
Micro1
Other

Top Subject Matter

Cybersecurity & Information Security
Artificial Intelligence & Machine Learning
Banking & Financial Technology

Top Data Types

TextText
DocumentDocument
Computer Code ProgrammingComputer Code Programming

Top Task Types

Red TeamingRed Teaming
ClassificationClassification
Data CollectionData Collection

Freelancer Overview

I work at the intersection of AI security testing and structured data quality, with hands-on experience conducting adversarial penetration testing on a live LLM-integrated banking application, identifying prompt injection flaws, system prompt exposure, and authorization bypass vulnerabilities through methodical input crafting. I have managed high-volume data workflows across real-world environments, including validation of 2,800+ CRM records at 100% accuracy, 800+ World Bank survey responses across 13 LGAs, and structured annotation of 169 indicators of compromise across 71 MITRE ATT&CK techniques. What sets me apart is a rare combination of understanding how language models process instructions and fail at edge cases, paired with the data accuracy discipline that high-quality AI training pipelines demand.

IntermediateEnglishHausaYoruba

Labeling Experience

Malware Data Labeling and Threat Classification

Computer Code ProgrammingRed Teaming
Performed static and dynamic malware analysis requiring precise, structured labeling and classification of threat behaviors at scale. Labeled 169 indicators of compromise across 71 MITRE ATT&CK techniques and 9 tactics. Produced a structured, labeled incident response report to inform organizational threat defense measures. • Classified malware behaviors for AI-driven threat intelligence mapping. • Labeled indicators of compromise linked to adversary activity. • Applied MITRE ATT&CK taxonomy to structured threat data labeling. • Delivered incident reports with labeled security events.

Performed static and dynamic malware analysis requiring precise, structured labeling and classification of threat behaviors at scale. Labeled 169 indicators of compromise across 71 MITRE ATT&CK techniques and 9 tactics. Produced a structured, labeled incident response report to inform organizational threat defense measures. • Classified malware behaviors for AI-driven threat intelligence mapping. • Labeled indicators of compromise linked to adversary activity. • Applied MITRE ATT&CK taxonomy to structured threat data labeling. • Delivered incident reports with labeled security events.

2026 - 2026

AI Security Penetration Tester / Red Teaming for LLM Application

TextRed Teaming
Conducted AI-focused penetration testing on a live LLM-integrated banking application, identifying vulnerabilities through structured analysis of model prompts and outputs. Labeled and classified model behaviors to uncover security gaps specifically related to prompt injection and unauthorized access. Developed adversarial input scenarios and classified outcomes to improve AI robustness and data quality. • Analyzed LLM output to map instruction-following and model failure modes. • Developed edge case prompts and classified resultant behaviors by risk. • Produced structured documentation on adversarial input effects. • Labeled and categorized severity of model vulnerabilities.

Conducted AI-focused penetration testing on a live LLM-integrated banking application, identifying vulnerabilities through structured analysis of model prompts and outputs. Labeled and classified model behaviors to uncover security gaps specifically related to prompt injection and unauthorized access. Developed adversarial input scenarios and classified outcomes to improve AI robustness and data quality. • Analyzed LLM output to map instruction-following and model failure modes. • Developed edge case prompts and classified resultant behaviors by risk. • Produced structured documentation on adversarial input effects. • Labeled and categorized severity of model vulnerabilities.

2026 - 2026

Data Enumerator and Survey Annotator

DocumentData Collection
Performed structured field-level data collection and real-time annotation during interviews for quantitative and qualitative research. Validated response entries and conducted bias checks to maintain clean, labeled datasets. Ensured data integrity via ethical protocols, consent management, and in-field quality controls. • Labeled survey responses during structured interviews. • Applied real-time QA checks for data accuracy. • Ensured clean datasets by conducting pre-submission audits. • Managed confidentiality and ethical labeling protocols.

Performed structured field-level data collection and real-time annotation during interviews for quantitative and qualitative research. Validated response entries and conducted bias checks to maintain clean, labeled datasets. Ensured data integrity via ethical protocols, consent management, and in-field quality controls. • Labeled survey responses during structured interviews. • Applied real-time QA checks for data accuracy. • Ensured clean datasets by conducting pre-submission audits. • Managed confidentiality and ethical labeling protocols.

2025 - 2025

Survey Data Enumerator and Annotator

TextData Collection
Captured and validated structured survey responses as part of field data collection under a World Bank monitoring programme. Conducted routine entry review, respondent clarification, and pre-submission corrections to ensure high-quality, labeled datasets. Integrated enumerator QA steps for consistent, clean data outputs suitable for downstream analysis and reporting. • Applied survey field data annotation protocols during collection. • Ensured accuracy through field-level label validation checks. • Executed real-time record review and corrections. • Maintained data auditing protocols throughout project cycle.

Captured and validated structured survey responses as part of field data collection under a World Bank monitoring programme. Conducted routine entry review, respondent clarification, and pre-submission corrections to ensure high-quality, labeled datasets. Integrated enumerator QA steps for consistent, clean data outputs suitable for downstream analysis and reporting. • Applied survey field data annotation protocols during collection. • Ensured accuracy through field-level label validation checks. • Executed real-time record review and corrections. • Maintained data auditing protocols throughout project cycle.

2022 - 2022

MEAL Data Annotation and QA Workflow Designer

TextData Collection
Designed a MEAL-aligned data collection system with structured QA for humanitarian beneficiary monitoring. Implemented pseudonymization, range checks, duplicate detection, and enumerator bias analysis as part of QA labeling workflows. Separated PII from analytical datasets and documented all annotation steps for transparency and auditability. • Developed label constraints and skip logic within surveys. • Implemented systematized QA checks for data consistency. • Segregated sensitive data in labeling pipeline. • Produced annotation audit logs for project compliance.

Designed a MEAL-aligned data collection system with structured QA for humanitarian beneficiary monitoring. Implemented pseudonymization, range checks, duplicate detection, and enumerator bias analysis as part of QA labeling workflows. Separated PII from analytical datasets and documented all annotation steps for transparency and auditability. • Developed label constraints and skip logic within surveys. • Implemented systematized QA checks for data consistency. • Segregated sensitive data in labeling pipeline. • Produced annotation audit logs for project compliance.

Not specified

Education

F

Federal University of Agriculture, Makurdi

Bachelor of Science, Food Science and Technology

Bachelor of Science
2018 - 2024

Work History

C

Cyblack

Cybersecurity & Data Intelligence Intern

Abuja
2026 - 2026
B

BPO Homes

Data Management & Operations Virtual Assistant

Abuja
2025 - 2026