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J

Joshua Brown

AI & Software Engineer — Remote

USA flagN/A, Usa
$23.00/hrExpertAppenAxiom AIClickworker

Key Skills

Software

AppenAppen
Axiom AI
ClickworkerClickworker
Data Annotation TechData Annotation Tech
Deep SystemsDeep Systems
iMeritiMerit
LabelboxLabelbox
LabelImgLabelImg
LionbridgeLionbridge
Micro1
Mighty AIMighty AI
MindriftMindrift
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
RemotasksRemotasks
Redbrick AIRedbrick AI
Scale AIScale AI
Snorkel AISnorkel AI
SuperAnnotateSuperAnnotate
SuperviselySupervisely
TagtogTagtog
Surge AISurge AI
TolokaToloka
TelusTelus
Trilldata Technologies
V7 LabsV7 Labs

Top Subject Matter

LLM Evaluation and AI Training
NLP Classification and Model Training

Top Data Types

TextText
ImageImage
AudioAudio

Top Task Types

Fine Tuning
Point Key Point
Entity Ner Classification
Segmentation
Polygon
Bounding Box
Classification
Cuboid
Text Generation
Text Summarization
RLHF
Transcription
Computer Programming Coding
Data Collection
Red Teaming
Question Answering
Object Detection
Polyline
Evaluation Rating
Prompt Response Writing SFT
Function Calling

Freelancer Overview

AI & Software Engineer — Remote. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, MIT (2022) and Master of Science, MIT (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Fine-tuning.

ExpertEnglish

Labeling Experience

AI & Software Engineer — Remote

Text
I evaluated and ranked large language model (LLM) outputs to improve reasoning accuracy and reduce errors. My work included optimizing datasets and performing detailed error analysis as part of AI training pipelines. I contributed to structured data annotation processes to support LLM development and testing. • Conducted targeted LLM evaluation focusing on reasoning. • Performed response ranking and accuracy analysis. • Improved dataset quality for reduced hallucinations. • Utilized data annotation to refine AI models.

I evaluated and ranked large language model (LLM) outputs to improve reasoning accuracy and reduce errors. My work included optimizing datasets and performing detailed error analysis as part of AI training pipelines. I contributed to structured data annotation processes to support LLM development and testing. • Conducted targeted LLM evaluation focusing on reasoning. • Performed response ranking and accuracy analysis. • Improved dataset quality for reduced hallucinations. • Utilized data annotation to refine AI models.

2023 - Present

Machine Learning Engineer — Remote

TextFine Tuning
I fine-tuned machine learning models using annotated data to improve NLP classification systems. My responsibilities covered error analysis, data annotation, and contributing to the overall training pipeline. This work supported the deployment of more accurate, reliable AI services. • Performed data annotation for NLP tasks. • Assisted in fine-tuning AI models with curated datasets. • Conducted detailed error and performance analysis. • Worked collaboratively to optimize AI training workflows.

I fine-tuned machine learning models using annotated data to improve NLP classification systems. My responsibilities covered error analysis, data annotation, and contributing to the overall training pipeline. This work supported the deployment of more accurate, reliable AI services. • Performed data annotation for NLP tasks. • Assisted in fine-tuning AI models with curated datasets. • Conducted detailed error and performance analysis. • Worked collaboratively to optimize AI training workflows.

2022 - 2023

Education

M

MIT

Master of Science, Software Engineering

Master of Science
2020 - 2022
M

MIT

Bachelor of Science, Software Engineering

Bachelor of Science
2016 - 2020

Work History

N

N/A

AI & Software Engineer

N/A
2023 - Present
N

N/A

Machine Learning Engineer

N/A
2022 - 2023