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J
Jimmy B.

Jimmy B.

Senior AI/ML Engineer

USA flagSan Angelo, Usa

Key Skills

Software

No software listed

Top Subject Matter

Mathematics

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

Text SummarizationText Summarization
Data CollectionData Collection
Computer Programming/CodingComputer Programming/Coding
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Text GenerationText Generation
Fine-tuningFine-tuning

Freelancer Overview

I have around 11 years of experience working on AI training data pipelines, evaluation systems, and large scale data generation for LLMs and agentic models. My work has focused on designing and operating the full lifecycle of training and evaluation data, from problem and task creation to execution in controlled simulation environments and final quality auditing. I built and maintained sandboxed environments where AI agents interact with realistic digital systems. In addition to data generation, I have extensive experience in data labeling, annotation design, and quality assurance for AI training sets. I created evaluation problems across algorithms, systems, machine learning, and mathematics and designed grading rubrics that assess correctness, reasoning quality and constraint handling rather than just final answers. I also reviewed and audited large datasets before training, identifying issues such as invalid task definitions, inconsistent entity states, and formatting errors like broken JSON or conflicting instructions. My focus has consistently been on ensuring that training data is both technically valid and aligned with real-world reasoning challenges, enabling more reliable and robust model performance.

Labeling Experience

Yes, I have significant experience in both AI training data creation and data labeling workflows, so you can mark that I

Yes, I have significant experience in both AI training data creation and data labeling workflows, so you can mark that I do have prior experience. My experience includes designing, generating, and auditing large-scale training datasets for LLMs and agentic systems. This involves creating structured evaluation tasks, labeling and validating multi-turn interaction data, and ensuring correctness of tool calls, reasoning traces and environment states. I have also reviewed and refined datasets at scale, including quality assurance of annotations, identification of labeling inconsistencies, and enforcement of strict evaluation rubrics to maintain dataset reliability for model training and benchmarking.

Not specified

Education

M

Master's Degree of Computer Science, University of Houston

Degree not specified

Not specified
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Work History

R

real world digital systems

Designed and built large scale LLM evaluation and training infrastructure, including simulated agent environments where

Location not specified
Not specified