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Adrianna Surus-Wróbel

Adrianna Surus-Wróbel

Practical AI Applications and Prompt Engineering Course (Umiejętności Jutra AI)

Poland flagN/A, Poland
$8.00/hrEntry LevelDon T Disclose

Key Skills

Software

Don't disclose

Top Subject Matter

AI Prompt Engineering
Innovative AI Solutions and Prompt Engineering

Top Data Types

TextText

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Practical AI Applications and Prompt Engineering Course (Umiejętności Jutra AI). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Science, N/A (2024). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT).

Entry LevelEnglishPolish

Labeling Experience

AI Solutions Training Participant (AIdeas Course)

Don T DiscloseTextPrompt Response Writing SFT
Currently participating in training focused on innovative AI solutions with an emphasis on prompt creation and evaluation. Engaging in practical work involving the construction and assessment of prompts for text-based artificial intelligence systems. Expanding expertise in structured text annotation and prompt-based data curation. • Involved in iterative prompt writing for various LLM tasks • Performing evaluation of AI-generated content for quality • Refining text annotation techniques in dynamic learning settings • Gaining exposure to advanced prompt engineering methods

Currently participating in training focused on innovative AI solutions with an emphasis on prompt creation and evaluation. Engaging in practical work involving the construction and assessment of prompts for text-based artificial intelligence systems. Expanding expertise in structured text annotation and prompt-based data curation. • Involved in iterative prompt writing for various LLM tasks • Performing evaluation of AI-generated content for quality • Refining text annotation techniques in dynamic learning settings • Gaining exposure to advanced prompt engineering methods

2026 - Present

Data annotation

ImageEvaluation Rating
I participated in a data annotation project for Apple through the OneForma platform, focusing on the evaluation of AI-generated imagery. The scope of the project involved assessing the visual quality of images and verifying their alignment with specific text prompts to ensure high-quality generative outputs. My specific tasks included conducting detailed image quality assessments and performing side-by-side comparisons of multiple generated images to determine which result best met the criteria. I was responsible for evaluating prompt-to-image fidelity, checking for logical consistencies, and identifying any visual artifacts. The project was a large-scale operation requiring high throughput while maintaining strict quality standards. To ensure data integrity, I adhered to rigorous quality measures, including consistent alignment with detailed project guidelines and maintaining a high accuracy rate during regular quality audits and feedback loops.

I participated in a data annotation project for Apple through the OneForma platform, focusing on the evaluation of AI-generated imagery. The scope of the project involved assessing the visual quality of images and verifying their alignment with specific text prompts to ensure high-quality generative outputs. My specific tasks included conducting detailed image quality assessments and performing side-by-side comparisons of multiple generated images to determine which result best met the criteria. I was responsible for evaluating prompt-to-image fidelity, checking for logical consistencies, and identifying any visual artifacts. The project was a large-scale operation requiring high throughput while maintaining strict quality standards. To ensure data integrity, I adhered to rigorous quality measures, including consistent alignment with detailed project guidelines and maintaining a high accuracy rate during regular quality audits and feedback loops.

2026 - 2026

Practical AI Applications and Prompt Engineering Course (Umiejętności Jutra AI)

Don T DiscloseTextPrompt Response Writing SFT
Completed an intensive course focused on practical applications of AI and prompt engineering. Participated in hands-on exercises creating and refining prompts for large language models. Developed foundational skills in evaluating LLM outputs and following strict annotation guidelines. • Engaged with AI tools to generate and structure diverse prompts • Practiced reviewing and improving model responses for accuracy • Learned effective communication with LLMs for data annotation • Applied best practices in prompt design and evaluation

Completed an intensive course focused on practical applications of AI and prompt engineering. Participated in hands-on exercises creating and refining prompts for large language models. Developed foundational skills in evaluating LLM outputs and following strict annotation guidelines. • Engaged with AI tools to generate and structure diverse prompts • Practiced reviewing and improving model responses for accuracy • Learned effective communication with LLMs for data annotation • Applied best practices in prompt design and evaluation

2025 - 2025

Education

N

N/A

Bachelor of Science, Management

Bachelor of Science
2021 - 2024

Work History

N

N/A

Parent/Family Caregiver

N/A
2020 - Present