For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
W
Wieb A.

Wieb A.

Data Annotator (Remote, Freelance) at Stellar AI

Netherlands flagMunich, Netherlands

Key Skills

Software

Don't disclose

Top Subject Matter

AI agents for software development (GitHub PR workflows, prompt engineering)
Deep learning research for medical imaging

Top Data Types

TextText

Top Task Types

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

Freelancer Overview

Data Annotator (Remote, Freelance) at Stellar AI. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Master of Informatics, Technical University of Munich (TUM) (2025) and Bachelor of Mathematics, University of Amsterdam (UvA) (2025). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Prompt + Response Writing (SFT) and Diagnosis.

Labeling Experience

Data Annotator (Remote, Freelance) at Stellar AI

Don't discloseTextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Created issue descriptions to support AI agent implementation of GitHub pull requests. Produced prompt guidance for AI agents to complete software development tasks. Worked remotely and as a freelance data annotator focused on AI development workflow inputs. • Drafted and structured issue descriptions for PR-related AI tasks • Wrote prompts to steer AI agents toward coding and debugging objectives • Performed iterative refinement to ensure prompts matched intended development actions • Supported integration of prompt outputs with GitHub PR contexts

2025 - Present

Bachelor Thesis Intern at POP-AART Lab

Don't discloseDiagnosisDiagnosis

Conducted deep learning research for medical imaging as part of a bachelor thesis internship. Built neural networks targeting medical imaging use cases, likely involving labeled training data preparation. Contributed to model development within an AI research setting. • Developed and trained neural network models for medical imaging • Worked with deep learning pipelines associated with medical image tasks • Supported experimentation and evaluation for research progress • Contributed to building datasets/models for medical imaging outcomes

2025 - 2025

Education

U

University of Amsterdam (UvA)

Bachelor of Computing Science, Computer Science

Bachelor of Computing Science
2022 - 2025
U

University of Amsterdam (UvA)

Bachelor of Mathematics, Mathematics

Bachelor of Mathematics
2022 - 2025

Work History

P

Pop-Aart Lab

Bachelor Thesis Intern

Munich
2025 - 2025
C

Camping De Kooi

Assistant Cook

N/A
2023 - 2024