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Ruby developer Jobs in New Orleans, LA
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Ruby developer • new orleans la
Remote Ruby Engineer - AI Trainer
SuperAnnotateTimberlane, Louisiana, US- Promoted
Senior Software Developer
Savvas LearningNew Orleans, LA, United States- Promoted
Splunk Developer
EntergyNew Orleans, LA, United StatesETL Developer
EMERGENT METHODSoutheastern United States, LA, US- Promoted
Lead Software Developer - PHP
Targeted TalentNew Orleans, LA, US.NET Developer
Parks Professional PlacementMetairie, LAServer - We Do Days!
Ruby Slipper Restaurant GroupMetairie, LA, USLine Cook - Hiring Immediately
Ruby BrunchNew Orleans, LA, United States- Promoted
Restaurant Manager
The Ruby Slipper CafeNew Orleans, LA, United StatesServer - We Do Days!
Ruby Slipper CafeMetairie, LA, United StatesDeveloper IV
Tulane UniversityNew Orleans, LA, US- Promoted
Java back end Developer
Staffing the UniverseNew Orleans, LA, United States.NET Developer - Manager
PwCNew Orleans,LA- Promoted
Assistant Manager
Ruby EnterprisesMetairie, LA, US- Promoted
SPM Developer
VirtualVocationsNew Orleans, Louisiana, United States- Promoted
Programmer Developer
Remote VANew Orleans, LA, United States- Promoted
Remote Side Hustle Developer
Finance BuzzArabi, Louisiana, USSenior SAP Developer
MaximusNew Orleans, LA, USPeoplesoft Developer - Remote
ASP Web SolutionsNew Orleans, LA, USThe average salary range is between $ 117,000 and $ 175,000 year , with the average salary hovering around $ 135,200 year .
- physician (from $ 59,949 to $ 242,814 year)
- owner operator (from $ 60,000 to $ 240,000 year)
- director of software engineering (from $ 185,000 to $ 239,875 year)
- freelance writing (from $ 38,002 to $ 232,781 year)
- crna (from $ 50,000 to $ 228,000 year)
- independent contractor (from $ 48,750 to $ 225,000 year)
- associate dentist (from $ 50,000 to $ 225,000 year)
- chief financial officer (from $ 125,000 to $ 225,000 year)
- general counsel (from $ 125,842 to $ 222,103 year)
- principal software engineer (from $ 144,814 to $ 222,072 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
SuperAnnotateTimberlane, Louisiana, 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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