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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, USSalesforce Developer
ZscalerSan Jose, California, USA- Promoted
Snow Developer
SparktekSan Jose, CA, United States- Promoted
Business Developer
Tree Top Staffing LLCSan Jose, CA, USWeb Developer
ThesalonhypeSan Jose, California, USAServiceNow Developer
Staffingine LLCSanta Clara County, California, USAPython Developer
WinMax Systems CorporationSan Jose, CA, US- Promoted
Hadoop Developer
ClifyXSan Jose, CA, United StatesJava developer
Cloudious LLCSan Jose, California, USA- Promoted
Web Developer
TradeJobsWorkForce95159 San Jose, CA, USAndroid Developer
Kanak Elite Services IncCupertino, California, USASr Software Engineer, Ruby on Rails
PaypalSan Jose, California, United StatesSr Software Engineer, Ruby on Rails
PayPalSan Jose, California, United States of America- Promoted
ServiceNow Developer
VirtualVocationsSunnyvale, California, United States- Promoted
CourtStack Developer
Abacus CoSan Jose, CA, United StatesSalesforce Developer
Sysmind LLCSunnyvale, California, USAContent Developer
Syntricate TechnologiesSunnyvale, CA, United States- Promoted
iOS Developer
Walter ServicesSan Jose, CA, United StatesPipeline Developer
Hogarth WorldwideSunnyvale, CA, USThe 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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