Miriam

Key Skills

Software

Other

Data Annotation Tech

Scale AI

Top Subject Matter

AI evaluation

language tasks

AI conversational understanding

Top Data Types

Text

Image

Audio

Top Task Types

Prompt Response Writing SFT

Text Generation

Transcription

Fine Tuning

Freelancer Overview

Quality Control Auditor – AI Evaluation (Outlier English and Dutch). Brings 25+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Data Annotation Tech. Education includes Bachelor of Arts, Lessius University Antwerpen (1996) and Associate Degree in Hospitality, Hotelschool ‘t Spijker, Hoogstraten (1992). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Quality Control Auditor – AI Evaluation (Outlier English and Dutch)

OtherText

I conducted final audits of AI evaluation tasks, ensuring accuracy, consistency, and adherence to strict project-specific guidelines. My responsibilities included reviewing outputs from AI trainers and prior reviewers, correcting discrepancies, and delivering client-ready evaluations. I provided structured feedback, promoting quality improvement and unbiased decision-making across teams. • Audited AI evaluation tasks for accuracy and guideline compliance. • Reviewed outputs from AI trainers and multiple reviewers. • Delivered structured feedback to maintain quality standards. • Acted as the final checkpoint in a multi-step review process.

I conducted final audits of AI evaluation tasks, ensuring accuracy, consistency, and adherence to strict project-specific guidelines. My responsibilities included reviewing outputs from AI trainers and prior reviewers, correcting discrepancies, and delivering client-ready evaluations. I provided structured feedback, promoting quality improvement and unbiased decision-making across teams. • Audited AI evaluation tasks for accuracy and guideline compliance. • Reviewed outputs from AI trainers and multiple reviewers. • Delivered structured feedback to maintain quality standards. • Acted as the final checkpoint in a multi-step review process.

2025 - Present

AI Training & Data Annotation (Outlier English and Dutch)

OtherTextPrompt Response Writing SFT

I created narrative examples designed to shape AI's understanding and ability to provide human-like responses. This involved developing realistic prompts and example conversations for model training. My work helped enhance the AI's nuance, tone, and language clarity. • Crafted narrative prompts to advance AI comprehension. • Developed example conversations for human-like interaction. • Enhanced AI models in linguistic nuance and clarity. • Specialized in text-based data annotation and augmentation.

I created narrative examples designed to shape AI's understanding and ability to provide human-like responses. This involved developing realistic prompts and example conversations for model training. My work helped enhance the AI's nuance, tone, and language clarity. • Crafted narrative prompts to advance AI comprehension. • Developed example conversations for human-like interaction. • Enhanced AI models in linguistic nuance and clarity. • Specialized in text-based data annotation and augmentation.

2023 - Present

AI Training & Data Annotation (German and Dutch)

Data Annotation TechTextPrompt Response Writing SFT

I developed diverse story-based prompts in German and Dutch to help AI models recognize and reproduce the nuances of natural language. This task involved detailed data annotation and careful language crafting. My efforts supported more robust multilingual AI training. • Created prompts for German and Dutch language models. • Performed text-based data annotation. • Improved AI’s performance in multilingual environments. • Focused on narrative and linguistic diversity for model training.

I developed diverse story-based prompts in German and Dutch to help AI models recognize and reproduce the nuances of natural language. This task involved detailed data annotation and careful language crafting. My efforts supported more robust multilingual AI training. • Created prompts for German and Dutch language models. • Performed text-based data annotation. • Improved AI’s performance in multilingual environments. • Focused on narrative and linguistic diversity for model training.

2023 - 2024

Education

Work History