Julius K.

Key Skills

Software

Other

Top Subject Matter

AI/ML training datasets and annotation tooling

Beginner AI tool usage and online AI tutoring concepts

Structured data preparation and record management for AI operations

Top Data Types

Text

Document

Top Task Types

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

AI Data Practice (dataset exploration and annotation tool learning). Core strengths include Other and Microsoft Office Suite. Education includes Diploma, Nairobi Institute of Technology. AI-training focus includes data types such as Text and Document and labeling workflows including Data Collection and Prompt + Response Writing (SFT).

Labeling Experience

Microsoft Office Projects (spreadsheets and formatted documents for data records)

DocumentData Collection

The candidate created and maintained spreadsheets and formatted documents to simulate workplace data management tasks. While this is not explicitly described as image/text annotation, it aligns with structured data preparation and record management that can support labeling pipelines. The experience emphasizes accurate entry and organization of data for operational workflows.• Created and maintained spreadsheets for data record management• Formatted documents and managed structured data entries• Simulated real workplace tasks aligned with data handling• Supported attention to detail and data accuracy practices

Not specified

Online Learning (beginner tutorials including ChatGPT)

OtherTextPrompt + Response Writing (SFT)

The candidate completed beginner tutorials that included using ChatGPT as part of an online learning routine. The purpose of this learning was to build foundational AI and productivity skills relevant to working with AI-driven systems. No specific labeling output, dataset annotation, or evaluation activity was explicitly described.• Completed beginner tutorials including ChatGPT usage• Used AI tools to support general productivity and learning• Strengthened understanding of technology concepts relevant to AI projects• Applied multitasking and attention-to-detail habits while learning

Not specified

AI Data Practice (dataset exploration and annotation tool learning)

OtherTextData Collection

The candidate explored public datasets and annotation tools to understand how data supports machine learning workflows. The activity focused on learning how labeled or structured data is prepared for model training. This is best interpreted as AI training data familiarization rather than production labeling work.• Explored public datasets and annotation tooling concepts for ML preparation• Learned how data labeling contributes to downstream machine learning performance• Practiced understanding dataset structure and annotation purposes• Built general awareness of AI-driven projects and data operations needs

Not specified

Education

Work History