James M.

Key Skills

Software

Other

Top Subject Matter

AI model response evaluation and text annotation quality checks

Structured data validation and quality assurance (SQL-based)

Rule-based validation logic assisted by AI

Top Data Types

Text

Top Task Types

Classification

Freelancer Overview

I am an IT professional transitioning into AI data labeling and training support, with hands-on experience evaluating AI-generated content, validating structured data, and applying rule-based review processes. I have worked on AI-assisted workflows where I reviewed model outputs for clarity, completeness, tone, and instruction-following, providing structured feedback and ranking responses based on defined criteria. I have also experimented with prompt testing, response comparison, and basic classification logic while developing and refining evaluation methods for an experimental AI detection project. These experiences have strengthened my ability to follow detailed guidelines, identify edge cases, and maintain consistency across repetitive review tasks. In addition, my background in SQL-based data validation and reconciliation support in a financial services environment has given me strong attention to detail and accuracy when handling structured datasets. I am comfortable working with spreadsheets, CSV files, and applying validation rules to ensure data quality. What sets me apart is my combination of technical understanding, structured documentation skills, and growing practical exposure to AI model evaluation—allowing me to contribute reliably to annotation, response rating, and AI training data improvement tasks while continuing to deepen my experience in this field.

Labeling Experience

AI Model Evaluation & Structured Review (Freelance / Practice Projects)

OtherText

Provided structured evaluation of AI-generated text for clarity, completeness, factual consistency, and tone. Compared multiple model outputs and ranked responses based on relevance and instruction-following. Tested prompt variations to analyze response consistency and behavioral differences. • Applied structured evaluation logic to assess model-generated drafts. • Offered detailed feedback with strengths, weaknesses, and improvement suggestions. • Performed output evaluation for prompt testing and response comparison. • Reviewed and documented evaluation criteria to refine labeling standards.

2018 - Present

Experimental AI Detection Model (In Development)

OtherText

Explored AI detection evaluation logic to improve accuracy of AI-generated text detection. Tested classification behavior on datasets and compared outputs against existing detection tools. Documented evaluation methods and refined labeling criteria for consistency. • Evaluated classification behavior on test datasets. • Compared detection outputs against existing tools. • Documented evaluation methods and refined labeling criteria. • Iterated on evaluation logic in an experimental (non-production) project.

Present

Acting IT Manager – Bingwa Sacco Ltd

OtherTextClassification

Managed validation and reconciliation support by applying structured data checks on SQL-verified reports. Investigated reconciliation discrepancies and documented anomalies for escalation. Ensured careful adherence to accuracy-focused verification tasks supporting data consistency. • Ran SQL queries to validate reports and investigate discrepancies. • Logged anomalies and documented findings for escalation. • Supported structured validation during migration and reconciliation. • Applied consistent validation rules for data quality assurance.

2016 - 2017

IT Assistant – Bingwa Sacco Ltd

OtherTextClassification

Supported validation-focused IT workflows by running SQL checks to verify reporting outputs and investigate discrepancies. Logged anomalies and documented findings to support escalation and reconciliation activities. Assisted in ensuring data consistency during structured migration and backup verification steps. • Ran SQL queries for validation and reconciliation discrepancy investigation. • Performed structured data checks during core banking system migration. • Verified backups and supported data consistency validation. • Identified and flagged inconsistencies during reconciliation processes.

2014 - 2016

AI Workflow & Logic Structuring (MikroTik Billing Project)

OtherText

Used AI-assisted workflows to help structure billing configuration logic and validation rules. Reviewed generated logic outputs, corrected inconsistencies prior to implementation, and tested rule-based scenarios against expected conditions. Applied systematic validation approaches similar to data verification for reliable outputs. • Structured billing logic with AI model assistance. • Validated generated rules by testing rule-based scenarios. • Corrected inconsistencies before implementation. • Compared output behavior against expected conditions.

Not specified

Education

Work History