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Ruby developer Jobs in Hollywood, FL
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Ruby developer • hollywood fl
Remote Ruby Engineer - AI Trainer
SuperAnnotateOjus, Florida, US- Promoted
Python Developer
Kaygen, Inc.Fort Lauderdale, FL, USSoftware Developer
Ga TelesisFt. Lauderdale, FL, United StatesJava Developer
Conch Technologies IncFort Lauderdale, Florida, USARPA Developer
UiPathFlorida, United States, US- New!
.NET Developer
Venturetech SolutionsFort Lauderdale, Florida, United States.NET Developer
VentureTech SolutionsFort Lauderdale, FL, US- Promoted
Software Developer I
GA Telesis, LLCFort Lauderdale, FL, USSenior SFCC Developer
UA IS AN EQUAL OPPORTUNITY EMPLOYERFort Lauderdale, Florida, USAWordPress Developer
WordPressPlantation, FLSr Software Applications Developer
South Florida Community Care Network LLCFort Lauderdale, FL, USSenior Ruby on Rails Developer
JobotFort Lauderdale, FL, USLead BI Developer
Launch PotatoFort Lauderdale, Florida, USA- Promoted
- New!
Ruby on Rails Developer
VirtualVocationsDavie, Florida, United StatesSAP ABAP / Fiori Developer
ITRADE STEMFort Lauderdale, FL, USPython Developer
Charter GlobalFort Lauderdale, FL, United StatesBI Developer
Hotwire CommunicationsFort Lauderdale, FL, USSoftware Developer
US DEFAULT GROUP INCPlantation, Florida, United States, 33324The average salary range is between $ 136,500 and $ 156,000 year , with the average salary hovering around $ 136,500 year .
- medical director (from $ 100,000 to $ 275,000 year)
- python developer (from $ 100,000 to $ 268,125 year)
- front end engineer (from $ 150,000 to $ 220,000 year)
- product management (from $ 80,000 to $ 212,500 year)
- machine learning (from $ 78,000 to $ 200,000 year)
- machine learning engineer (from $ 78,000 to $ 200,000 year)
- principal engineer (from $ 138,400 to $ 200,000 year)
- infrastructure engineer (from $ 185,000 to $ 197,500 year)
- reliability engineer (from $ 190,000 to $ 197,500 year)
- cloud engineer (from $ 114,000 to $ 195,000 year)
- Bend, OR (from $ 163,954 to $ 180,000 year)
- San Jose, CA (from $ 125,000 to $ 175,500 year)
- San Francisco, CA (from $ 125,000 to $ 175,500 year)
- San Mateo, CA (from $ 125,000 to $ 175,500 year)
- New Bedford, MA (from $ 117,000 to $ 175,000 year)
- New Orleans, LA (from $ 117,000 to $ 175,000 year)
- Santa Clara, CA (from $ 121,250 to $ 173,350 year)
- Oakland, CA (from $ 110,790 to $ 172,640 year)
- Chattanooga, TN (from $ 132,500 to $ 171,200 year)
- Fort Collins, CO (from $ 105,000 to $ 171,000 year)
The average salary range is between $ 107,285 and $ 164,719 year , with the average salary hovering around $ 130,000 year .
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Remote Ruby Engineer - AI Trainer
SuperAnnotateOjus, Florida, US- Full-time
- Remote
As an hourly paid, fully remote Ruby Engineer for AI Data Training, you will review AI-generated Ruby and Rails code or generate your own solutions, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for readability, maintainability, and correctness; identify errors in MVC structure, domain modeling, or control flow; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Ruby patterns; and rate and compare multiple AI responses based on correctness and reasoning quality.
This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs, and your work will directly help improve the world’s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.
Key Responsibilities :
- Develop AI Training Content : Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
- Optimize AI Performance : Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
- Ensure Model Integrity : Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
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