Cole Amber

Key Skills

Software

Labelbox

Other

Scale AI

Top Subject Matter

AI Research

Computer Vision

Multimodal AI Systems

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Classification

Freelancer Overview

AI Training Data Evaluator & Multimodal Annotator. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Labelbox, Other, and Scale AI. Education includes Bachelor of Information Technology, Jomo Kenyatta University of Agriculture and Technology (2023) and N/A, Central Piedmont Community College. AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Evaluation, and Rating.

Labeling Experience

AI Evaluation & Analysis Sandbox — Project Hedgehog Prep

OtherText

Designed a local evaluation sandbox replicating Project Hedgehog workflows with open-source LLM tools. Developed custom rubrics and created synthetic datasets for prompt engineering, output analysis, and hallucination detection. Practiced annotation techniques and feedback writing in an environment aligning with real-world AI training protocols. • Scored AI outputs on multiple dimensions • Tested model reasoning, summarization, and instruction following • Used project-aligned practice materials and guidelines • Simulated large-scale data labeling and evaluation cycles

Designed a local evaluation sandbox replicating Project Hedgehog workflows with open-source LLM tools. Developed custom rubrics and created synthetic datasets for prompt engineering, output analysis, and hallucination detection. Practiced annotation techniques and feedback writing in an environment aligning with real-world AI training protocols. • Scored AI outputs on multiple dimensions • Tested model reasoning, summarization, and instruction following • Used project-aligned practice materials and guidelines • Simulated large-scale data labeling and evaluation cycles

2024 - Present

AI Content Evaluator & Quality Analyst

Scale AIImageClassification

Reviewed and tagged image and video content to support computer vision model development. Ensured annotation quality by following consistent guidelines and performing routine quality assessments for diverse multimodal datasets. Identified patterns and data inconsistencies to optimize AI training pipelines and enhance model performance. • Applied QA methods aligned with Project Hedgehog • Verified model behavior for AI safety compliance • Utilized cloud-based task management and documentation platforms • Supported distributed project teams through rigorous process tracking

Reviewed and tagged image and video content to support computer vision model development. Ensured annotation quality by following consistent guidelines and performing routine quality assessments for diverse multimodal datasets. Identified patterns and data inconsistencies to optimize AI training pipelines and enhance model performance. • Applied QA methods aligned with Project Hedgehog • Verified model behavior for AI safety compliance • Utilized cloud-based task management and documentation platforms • Supported distributed project teams through rigorous process tracking

Not specified

LLM Training Specialist & Content Evaluator

OtherText

Evaluated and scored outputs from multiple Large Language Models for Project Hedgehog using a rubric-based approach. Checked AI-generated text for accuracy, coherence, clarity, and safety, detecting and documenting hallucinations and biases for model fine-tuning. Provided structured, justified feedback instrumental to AI safety and responsible model training. • Performed output ranking and side-by-side comparison • Supported RLHF and human-in-the-loop system workflows • Maintained documentation using cloud-based and web annotation tools • Practiced structured feedback and data annotation at scale

Evaluated and scored outputs from multiple Large Language Models for Project Hedgehog using a rubric-based approach. Checked AI-generated text for accuracy, coherence, clarity, and safety, detecting and documenting hallucinations and biases for model fine-tuning. Provided structured, justified feedback instrumental to AI safety and responsible model training. • Performed output ranking and side-by-side comparison • Supported RLHF and human-in-the-loop system workflows • Maintained documentation using cloud-based and web annotation tools • Practiced structured feedback and data annotation at scale

Not specified

AI Training Data Evaluator & Multimodal Annotator

LabelboxImageBounding Box

Annotated multimodal datasets across images, videos, and audio for AI model training purposes. Maintained high accuracy on batches by adhering to strict rubrics and project guidelines for data labeling quality. Applied image bounding boxes, polygon markup, video captioning, and audio transcription for complex datasets routinely reviewed for quality assurance. • Used systematic scanning and precise spatial language for image annotation • Provided structured feedback for model improvement cycles • Handled transformation instructions for image editing tasks • Tracked time within task caps and ensured all project SLAs were met.

Annotated multimodal datasets across images, videos, and audio for AI model training purposes. Maintained high accuracy on batches by adhering to strict rubrics and project guidelines for data labeling quality. Applied image bounding boxes, polygon markup, video captioning, and audio transcription for complex datasets routinely reviewed for quality assurance. • Used systematic scanning and precise spatial language for image annotation • Provided structured feedback for model improvement cycles • Handled transformation instructions for image editing tasks • Tracked time within task caps and ensured all project SLAs were met.

Not specified

Education

Work History