Sofia S.

Key Skills

Software

Other

Top Subject Matter

Generative AI response quality and text content evaluation (legal/academic/informational)

Prompt engineering for generative AI quality improvement

Legal/academic document content review and quality assurance

Top Data Types

Text

Document

Top Task Types

Prompt + Response Writing (SFT)

Classification

Freelancer Overview

AI Trainer / AI Data Annotator (Prompt + Response evaluation and quality assessment). Core strengths include Other. Education includes Bachelor’s Degree in Law, Vasyl Stefanyk Precarpathian National University. AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Text annotation and content quality evaluation for legal/academic materials

OtherDocumentClassification

Reviewed and edited academic, legal, and informational documents to ensure quality and correctness. Performed fact-checking and quality assessment by verifying claims against sources during research-oriented analysis. Structured and summarized large volumes of text into clear formats suitable for downstream evaluation. • Fact-checked informational and legal claims • Verified text quality and informational accuracy • Organized and summarized complex materials • Prepared structured outputs for academic/legal use

2024 - Present

AI Prompt Engineering for generative model output improvement

OtherTextPrompt + Response Writing (SFT)

Designed and refined prompts to improve AI-generated outputs for varied objectives and audiences. Iteratively adjusted prompt instructions based on evaluation outcomes to increase correctness and clarity. Supported quality assurance workflows through prompt adaptation and targeted response improvement. • Authored and refined prompts for different tasks • Tuned prompt wording to guide style and audience • Iterated prompts based on response evaluation findings • Focused on producing more accurate and consistent outputs

2024 - Present

AI Trainer / AI Data Annotator (Prompt + Response evaluation and quality assessment)

OtherText

Performed AI response evaluation by assessing accuracy, relevance, coherence, and factual consistency of generated outputs. Identified logical errors, inconsistencies, and hallucinations to improve downstream quality. Adapted evaluation criteria across different tasks and styles to support prompt improvement and quality assurance. • Evaluated AI-generated responses for factual consistency • Checked for hallucinations, contradictions, and reasoning errors • Assessed coherence and relevance to the target audience • Provided structured quality guidance for prompt refinement

2024 - Present

Education

Work History