Dimitrios K.

Key Skills

Software

Other

Data Annotation Tech

Top Subject Matter

Greek-language LLM prompt evaluation and QA

Prompt evaluation

instruction compliance

Top Data Types

Text

Document

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

Detail-oriented AI Data Labeling and Prompt Quality Specialist with strong experience evaluating, refining, and quality-checking AI-generated outputs in Greek-language LLM workflows. Background in technical project management within high-risk engineering environments, bringing structured thinking, process discipline, and quality assurance methodologies into AI operations. Experienced in prompt evaluation, instruction clarity analysis, output validation, error detection, guideline compliance, and iterative feedback processes. Strong analytical mindset with proven ability to work with complex technical information, maintain consistency, and improve workflow quality.

Labeling Experience

Technical Project Manager – Naval & Shipyard Operations (AI Prompt Quality / LLM Output Quality Work)

TextPrompt + Response Writing (SFT)

Managed AI-related prompt evaluation and output quality assurance activities within technical project operations for naval shipyard workflows. Ensured instruction and guideline compliance and performed linguistic quality assessment for Greek-language outputs. Conducted error detection and pattern analysis to support quality control, documentation, and process optimization. • Performed LLM output validation and response checks • Reviewed instruction clarity and compliance • Supported error detection through QA pattern analysis • Contributed to workflow and quality documentation

2023 - Present

AI Prompt Quality Reviewer (Greek Language) | Remote Contract Project

Text

Reviewed and evaluated Greek-language LLM prompts and model responses for clarity, factual consistency, tone, linguistic quality, and instruction compliance. Performed quality assurance checks against predefined evaluation guidelines and identified ambiguous or misleading prompts for corrective improvement. Supported iterative model improvement through recurring error-pattern analysis and structured feedback loops. • Evaluated prompt clarity and completeness • Validated response quality and guideline adherence • Conducted error-pattern analysis for reliability • Provided iterative feedback to improve output consistency

2023 - Present

Education

Work History