Marcus Campbell

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Computer Code Programming

Top Label Types

Prompt Response Writing SFT

Computer Programming Coding

Freelancer Overview

I am a detail-oriented data annotator and AI training specialist with a decade of experience in tech and a recent focus on high-quality data labeling for machine learning. My work includes large-scale image, video, and 3D LiDAR annotation for perception models, as well as text categorization, transcription, and prompt evaluation for NLP projects. I am skilled in using tools and platforms like Remotasks (Scale AI), Outlier, and open-source annotation software, and consistently maintain accuracy scores above 95%. My technical background in full-stack development (JavaScript, Python, React, AWS) enhances my approach to quality assurance, data validation, and pattern recognition—skills I have applied to both freelance AI projects and internal QA/auditing tools. I am passionate about combining precision, patience, and technical insight to produce reliable training data for cutting-edge AI systems.

Labeling Experience

Coding

Scale AIComputer Code ProgrammingComputer Programming Coding

Train AI models by solving complex coding problems, writing test cases, and evaluating AI generated code for quality and efficiency . Tasks include ranking code responses, fixing bugs, and writing human readable explanations of solutions.

Train AI models by solving complex coding problems, writing test cases, and evaluating AI generated code for quality and efficiency . Tasks include ranking code responses, fixing bugs, and writing human readable explanations of solutions.

2024 - 2025

Text Categorisation

Scale AITextPrompt Response Writing SFT

Read and analyze short text snippets such as product reviews, social media posts, or search queries and classify them into predefined categories e.g., sentiment, intent, or topic. Follow strict labeling guidelines to ensure high quality training data for AI models. Requires strong reading comprehension, attention to nuance, and consistent judgment.

Read and analyze short text snippets such as product reviews, social media posts, or search queries and classify them into predefined categories e.g., sentiment, intent, or topic. Follow strict labeling guidelines to ensure high quality training data for AI models. Requires strong reading comprehension, attention to nuance, and consistent judgment.

2023 - 2023

Education

Work History