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Ruby developer Jobs in San Jose, CA
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Ruby developer • san jose ca
Remote Ruby Engineer - AI Trainer
SuperAnnotateSan Jose, California, US- Promoted
Software Developer
Apidel TechnologiesSunnyvale, CA, USAlgorithm Developer
Applied MaterialsSanta Clara County, California, USAJava Developer
VeeRteq Solutions Inc.Sunnyvale, California, USASoftware Engineer- Ruby on Rails
PayPalSan Jose, California, United States of AmericaIOS Developer
Tata Consultancy ServicesSan Jose, CA, US- Promoted
Web Developer
TradeJobsWorkForce95127 San Jose, CA, USCorticon Developer
AllRight Jobs IncSan Jose, California, USAFreelance Ruby Software Developer
VirtualVocationsSunnyvale, California, United StatesSenior Developer (Ruby on Rails with Front-End Expertise)
Avance consultingCupertino, CA, United States of America- Promoted
.Net Developer
Zone IT SolutionsSan Jose, CA, US- Promoted
C Developer
Pentangle Tech Services | P5 GroupSan Jose, CA, US- Promoted
Web Developer
Orbien LLCSunnyvale, CA, US- Promoted
Jira Developer
Excelon SolutionsSanta Clara County, CA, United StatesSenior Developer
Simplion TechnologiesMilpitas, California, USAReact Developer
GeekSoft ConsultingSunnyvale, California, United StatesJava Developer
Sysmind LLCSunnyvale, California, USAFrontend Developer
Inherent TechnologiesSunnyvale, California, USAServiceNow Developer
Cloudious LLCSanta Clara County, California, USAThe average salary range is between $ 125,000 and $ 175,500 year , with the average salary hovering around $ 146,250 year .
- american sign language interpreter (from $ 70,941 to $ 551,925 year)
- investment banker (from $ 144,400 to $ 249,600 year)
- cardiothoracic surgeon (from $ 174,600 to $ 248,150 year)
- forensic pathologist (from $ 135,000 to $ 244,941 year)
- director of software engineering (from $ 183,000 to $ 240,000 year)
- psychiatrist (from $ 50,000 to $ 240,000 year)
- radiologist (from $ 57,103 to $ 238,613 year)
- chief investment officer (from $ 155,794 to $ 235,505 year)
- engineering director (from $ 151,059 to $ 235,000 year)
- product director (from $ 164,997 to $ 235,000 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
SuperAnnotateSan Jose, California, 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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