Princewill Anurukem

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Label Types

Classification

Question Answering

Evaluation Rating

Data Collection

Prompt Response Writing SFT

Freelancer Overview

I am an analytical professional with hands-on experience in AI data training, annotation, and evaluation, supporting both text and multi-modal (image and video) workflows. My work involves applying detailed guidelines to label and assess AI training data, compare model outputs, and deliver high-quality, objective evaluations in asynchronous, deadline-driven environments. I am skilled at identifying ambiguities and edge cases within model responses, ensuring data quality and consistency for supervised fine-tuning and benchmarking. My technical toolkit includes Python, SQL, Power BI, and cloud-based data pipelines, and I have contributed to projects in domains such as e-commerce, public sector, and insurance. I am adept at data cleaning, transformation, and reporting, and bring a strong attention to detail and a commitment to delivering reliable, actionable insights for AI and analytics initiatives.

Labeling Experience

AI Data Training & Evaluation

Scale AIImageClassificationQuestion Answering

● Evaluated and annotated text, image, and video data used in AI training and supervised fine-tuning workflows. ● Compared and assessed AI-generated responses using structured rubrics, focusing on accuracy, clarity, relevance, and instruction adherence. ● Performed visual reasoning tasks, including scene understanding, comparison, and content validation, to support multi-modal AI systems. ● Applied detailed guidelines consistently to deliver high-quality, objective, and repeatable evaluations in asynchronous, deadline-driven environments. ● Identified errors, ambiguities, and edge cases in model outputs, providing clear and well-reasoned judgments. ● Maintained strong attention to detail while working independently in asynchronous, deadline-driven environments.

● Evaluated and annotated text, image, and video data used in AI training and supervised fine-tuning workflows. ● Compared and assessed AI-generated responses using structured rubrics, focusing on accuracy, clarity, relevance, and instruction adherence. ● Performed visual reasoning tasks, including scene understanding, comparison, and content validation, to support multi-modal AI systems. ● Applied detailed guidelines consistently to deliver high-quality, objective, and repeatable evaluations in asynchronous, deadline-driven environments. ● Identified errors, ambiguities, and edge cases in model outputs, providing clear and well-reasoned judgments. ● Maintained strong attention to detail while working independently in asynchronous, deadline-driven environments.

2025 - 2025

Education

Work History