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J
Jay Tranberg

Jay Tranberg

AI Training Contributor (Freelance)

Canada flagN/A, Canada
$50.00/hrIntermediateCloudfactoryCrowdsourceData Annotation Tech

Key Skills

Software

CloudFactoryCloudFactory
CrowdSourceCrowdSource
Data Annotation TechData Annotation Tech
Label StudioLabel Studio
MercorMercor
Micro1
Other

Top Subject Matter

Software engineering
data workflows
system design

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Text GenerationText Generation
Question AnsweringQuestion Answering
Object DetectionObject Detection
Fine-tuningFine-tuning
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
Computer Programming/CodingComputer Programming/Coding
Data CollectionData Collection
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

I have experience contributing to AI training workflows through evaluation, data labeling, and structured feedback on model outputs, particularly in coding, reasoning, and system-level tasks. My work involves comparing multiple AI responses, identifying correctness issues, edge cases, and logical gaps, and providing detailed justification to improve model performance. I approach labeling not just as tagging, but as a structured evaluation process that ensures accuracy, consistency, and alignment with real-world expectations. What sets me apart is my background as a full-stack systems builder, which allows me to evaluate AI outputs in context. I understand how code, data, and APIs behave in real systems, and I apply that perspective when assessing model responses. I focus on multi-step reasoning, reproducibility, and clarity, and I’m comfortable working across technical domains using Python and structured analysis to validate and refine AI-generated results.

IntermediateEnglish

Labeling Experience

AI Training Contributor (Freelance)

As an AI Training Contributor, I evaluated AI-generated code and reasoning outputs for accuracy and completeness. I identified logical gaps and inconsistencies in AI model responses across various domains. My work focused on providing structured feedback and preference justifications to improve the performance and reliability of AI systems. • Evaluated AI-generated computer code and reasoning on correctness • Identified edge cases and inconsistencies in AI outputs • Provided structured, actionable feedback for model improvement • Compared and rated multiple model results for quality and preference

As an AI Training Contributor, I evaluated AI-generated code and reasoning outputs for accuracy and completeness. I identified logical gaps and inconsistencies in AI model responses across various domains. My work focused on providing structured feedback and preference justifications to improve the performance and reliability of AI systems. • Evaluated AI-generated computer code and reasoning on correctness • Identified edge cases and inconsistencies in AI outputs • Provided structured, actionable feedback for model improvement • Compared and rated multiple model results for quality and preference

Present

Education

N

N/A

Bachelor of Science, Computer Science

Bachelor of Science
2022

Work History

W

Wall Financial

Full-Stack Engineer

N/A
2025 - 2026
P

Property Operations Platform

Full-Stack Engineer

N/A
2025 - 2026