Daniel F.

Key Skills

Software

No software listed

Top Subject Matter

General data annotation

Qa Domain Expertise

organizational support

Top Data Types

Text

Document

Top Task Types

Data Collection

Text Generation

Freelancer Overview

Data annotation (part-time). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include N and A. Education includes Vocational Education Degree, Soukromá Obchodní Akademie Podnikatel, Spol. S.R.O. (2020). AI-training focus includes data types such as Text and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

Self-employed data annotation and text work

TextText Generation

Worked as a self-employed contributor focused on data annotation and related content tasks for AI/data purposes. Completed text editing and content writing to prepare or refine text data for labeling and downstream consumption. Delivered ad-hoc annotation and text preparation services as needed. • Data annotation as an independent contractor • Content writing and text editing for text datasets • Preparing/refining text for downstream use • Self-directed, task-based delivery

2024 - Present

Data annotation, QA, and HR (full-time)

Text

Engaged in data annotation work for an AI/data labeling context, contributing labeled data necessary for model development. Also supported QA activities to evaluate annotation quality and consistency. Additionally contributed to HR-related coordination tasks while being associated with the same organization’s data work. • Data annotation for labeled datasets • QA/quality evaluation of labeled outputs • Supporting consistency and accuracy of annotations • Cross-functional support (HR/Q A) within the labeling organization

2022 - 2024

Data annotation (part-time)

TextData Collection

Performed data annotation tasks as part of a part-time role, supporting preparation of labeled datasets. Likely contributed to organizing and verifying annotation outputs for downstream use in AI or analytics workflows. Ensured labeled items met basic quality expectations for dataset usability. • Data annotation/labeling for dataset creation • Manual verification and quality checks • Supporting dataset preparation for AI/analytics • Working in a part-time capacity with defined tasks

2019 - 2019

Education

Work History