Valentine Jelimo

Key Skills

Software

Remotasks

Top Subject Matter

Video Annotation/Data Quality

AI Reasoning/Language Model Evaluation

General Data Annotation

Top Data Types

Video

Text

Image

Top Task Types

Segmentation

Prompt Response Writing SFT

Classification

Freelancer Overview

Auditor and Data Annotator. Core strengths include Internal, Proprietary Tooling, and Remotasks. Education includes Bachelor of Science, Gretsa University (2024). AI-training focus includes data types such as Video, Text, and Image and labeling workflows including Segmentation, Prompt + Response Writing (SFT), and Classification.

Labeling Experience

Auditor and Data Annotator

VideoSegmentation

I conducted video annotation and frame-level segmentation to support AI training and model evaluation. Using rigorous quality auditing and peer reviews, I improved annotation practices, reducing error rates and enhancing overall data consistency. My efforts included identifying root causes of annotation errors and contributing to improved annotation guidelines. • Performed detailed video labeling focused on object segmentation and classification. • Enhanced data annotation quality through systematic reviews. • Collaborated in rubric modification, leading to higher accuracy. • Ensured data quality and reliability for machine learning workflows.

I conducted video annotation and frame-level segmentation to support AI training and model evaluation. Using rigorous quality auditing and peer reviews, I improved annotation practices, reducing error rates and enhancing overall data consistency. My efforts included identifying root causes of annotation errors and contributing to improved annotation guidelines. • Performed detailed video labeling focused on object segmentation and classification. • Enhanced data annotation quality through systematic reviews. • Collaborated in rubric modification, leading to higher accuracy. • Ensured data quality and reliability for machine learning workflows.

2025 - Present

Model QA and Prompt Testing

RemotasksTextPrompt Response Writing SFT

I designed procedural reasoning prompts and evaluated model problem-solving abilities for AI systems. My role encompassed testing model accuracy, safety, and behavioral consistency across a wide range of prompt formats. The position required systematic evaluation and careful analysis of AI-generated responses. • Created structured prompts to assess model reasoning. • Evaluated large language models for accuracy and dependability. • Assessed safety and consistency in AI model outputs. • Generated feedback to refine model performance.

I designed procedural reasoning prompts and evaluated model problem-solving abilities for AI systems. My role encompassed testing model accuracy, safety, and behavioral consistency across a wide range of prompt formats. The position required systematic evaluation and careful analysis of AI-generated responses. • Created structured prompts to assess model reasoning. • Evaluated large language models for accuracy and dependability. • Assessed safety and consistency in AI model outputs. • Generated feedback to refine model performance.

2025 - 2025

Data Annotator

ImageClassification

I labeled and validated datasets for text, video, and image-oriented AI tasks as an independent annotator. Responsibilities included ensuring data accuracy and reliability across multiple formats and labeling standards. This work contributed directly to diverse machine learning projects in data annotation. • Handled multi-format annotation projects for text and images. • Conducted validation to support high-quality labeled datasets. • Adapted to various labeling standards and requirements. • Delivered consistent annotation work meeting client needs.

I labeled and validated datasets for text, video, and image-oriented AI tasks as an independent annotator. Responsibilities included ensuring data accuracy and reliability across multiple formats and labeling standards. This work contributed directly to diverse machine learning projects in data annotation. • Handled multi-format annotation projects for text and images. • Conducted validation to support high-quality labeled datasets. • Adapted to various labeling standards and requirements. • Delivered consistent annotation work meeting client needs.

2024 - 2024

Education

Work History