Seo Gyeongmin · Registered sole proprietor · Korean Text · Audio & TTS
Evaluating responses. Documenting the judgment.
I evaluate Korean text and audio/TTS outputs as an independent contractor. My mobile software QA background informs how I apply requirements, compare outputs, identify ambiguous cases, and document the reasons for my judgments.
In personal projects, I use AI assistance to develop supporting tools while keeping my own evaluations distinct from technical checks and research findings.
I review Korean text and audio/TTS outputs against provided requirements and evaluation rubrics. My work includes comparing outputs, identifying errors and ambiguous cases, and documenting the reasons for my judgments.
Review Korean responses for naturalness, context, tone, and fit to the request.
Assess audio/TTS output quality using the criteria provided for the work.
Compare responses and identify differences, errors, and ambiguous cases.
Record evaluation decisions and supporting rationale.
Performed defined functional, compatibility, and regression tests for mobile applications and related telecom services. Reproduced and documented defects, recorded test conditions, and verified fixes across mobile and wearable environments.
Public personal projects, separate from my contract work.
June 2026 · Personal evaluation project
Reviewing an AI interpretation of Korean dialect
I reviewed an AI response that interpreted a Gyeongsang dialect passage in standard Korean. I considered the response usable while recommending a less categorical explanation of one time expression. The same response already included a broader interpretation, so my note does not treat the whole answer as a mistranslation.
The translated sentence used “the day before yesterday”; an explanation in the same response also allowed “a few days ago.” I recorded factual accuracy as 3/4 and Korean context fit as 4/4. These are my original judgments from a personal evaluation project, not new scores.
This is one of 10 prompt responses I evaluated against 8 criteria, recording scores, defects, reasons, and suggestions. I performed the evaluation; AI assisted with the templates.
June 2026 · Personal QA project / October 2026 · Site revision
Web QA and basic regression testing
A personal website review and a basic Playwright suite for key elements, link attributes, and visibility at a narrow viewport. The June test record is kept separate from current verification.
For the October revision, I defined requirements and reviewed content and reading flow. AI assisted with implementation and checks for responsive layouts, navigation, and keyboard behavior.
Reviewed input structures, exception states, source preservation, and workflows in a personal spreadsheet-based operations tool. Implementation was AI-assisted.
Project review notes
Completion of the real ledger and settlement automation has not been verified.
Basic regression tests for a personal website. With AI assistance, I expanded checks for responsive layouts, navigation, and keyboard behavior.
SQL
Basic queries and aggregation
Basic queries and aggregation, including JOIN, NULL, and subquery concepts.
Python
Basic scripting
Basic scripting and data review. In personal projects, I use AI-assisted tools for checking inputs and records and organizing results.
Git / GitHub
Project records
Manage source files, outputs, and change history for personal projects.
AI-assisted project experience
In personal projects, I review requirements, inputs, and outcomes. AI assists with implementation and testing; that support is separate from my direct evaluation work.
Evaluation records and API-based tools
Use CSV, JSON, and JSONL to distinguish inputs, human judgments, and technical checks. In personal research, I review preparation, connectivity checks, collection, and annotation as separate stages. Tool implementation is AI-assisted.
Define requirements for my personal website and review readability, context, and navigation. Implementation and automated checks use AI assistance; I review whether revisions convey the intended meaning and behavior.
Reviewed input structures, exception states, source preservation, and workflows in a personal spreadsheet-based operations tool. Implementation was AI-assisted. Actual transactions and financial records are not included here.
06
Independent projects
Personal evaluation projects developed with AI assistance. Human judgments, technical checks, and research findings are recorded separately. No hypothesis findings are available yet.
Nunchi
Does more reasoning improve the fit of a Korean response to its context?
Limited live connectivity checked · Context review incorporated
A personal evaluation project on Korean conversational appropriateness. A limited live connectivity test is complete, and human review of case context has been incorporated. Final human response ratings and comparative findings are not yet established.
My contribution. I review necessary context, unsupported assumptions, exceptions, and conditions for withholding judgment. Candidate drafting and tool implementation use AI assistance.
Limits. Design feedback is distinct from final response ratings. No claim about broad cultural understanding or comparative performance has been established.
How well do predicted response behaviors match observations?
Collection and judgment entry complete · Validation incomplete
A personal project comparing predicted model behavior with observed responses. Response collection and human judgment entry are complete. Some entries were made in a batch after reading AI-compressed summaries; validation against individual original responses and predictive analysis are not complete.
My contribution. I review the research question and scope and record judgments and reasons after reading responses or AI-compressed summaries. Tool implementation and technical checks use AI assistance.
Limits. Entry completion is distinct from independent review of every original response. No predictive performance finding has been established; this work does not establish consciousness, intent, deception, or general self-understanding.
Do explanations stay consistent when evidence and conditions change?
Execution tooling tested offline · Before response collection
A personal project examining whether AI explanations remain consistent with the evidence and conditions provided in fictional scenarios. Pre-execution tooling has been tested offline; model responses have not yet been collected.
My contribution. I define and review the research question, scope, and conditions for proceeding. Design documentation, implementation, and tests use AI assistance.
Limits. Offline tool checks do not establish model performance or findings about consciousness, rights, or the validity of human judgments.