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Ruby developer Jobs in Phoenix, AZ
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Ruby developer • phoenix az
Remote Ruby Engineer - AI Trainer
SuperAnnotateScottsdale, Arizona, USVaricent Developer
Phoenix Staffing ServicesPhoenix, AZ, United States- Promoted
Informatica Developer
Omni InclusivePhoenix, AZ, United States- Promoted
USA_Developer
VaritePhoenix, AZ, United States- Promoted
Senior Ruby on Rails Developer
VirtualVocationsGlendale, Arizona, United StatesSenior Ruby on Rails Developer Job at Jobs via Dice in Phoenix
Jobs via DicePhoenix, AZ, United States- Promoted
Application Developer - Golang Developer
Procyon TSPhoenix, AZ, United StatesReactJS Developer
Syntricate TechnologiesPhoenix, AZ, United States- Promoted
Application Developer - Golang Developer
Kaav Inc.Phoenix, AZ, United States.Net Developer
ClifyXPhoenix, AZ, United States- Promoted
Mulesoft Developer
CData SoftwareTempe, AZ, United States- Promoted
- New!
Senior Ruby on Rails Developer
JobotPhoenix, AZ, USSoftware Engineer, AI (Ruby)
G2i Inc.Phoenix, AZ, US- Promoted
Microservices Developer
Keylent IncPhoenix, AZ, United States- Promoted
PeopleSoft Developer
Recurring DecimalPhoenix, Arizona, United StatesJava Developer
Zone It SolutionsPhoenix, Arizona, United StatesWeb Developer
Red Mountain Weight LossScottsdale, Arizona, USA- Promoted
Java Developer
Glow NetworksPhoenix, AZ, United States- Promoted
ServiceNow Developer
ApolisTempe, AZ, United StatesThe average salary range is between $ 109,375 and $ 160,000 year , with the average salary hovering around $ 125,000 year .
- director of logistics (from $ 130,000 to $ 464,000 year)
- terminal operator (from $ 216,000 to $ 454,000 year)
- team owner operator (from $ 104,000 to $ 435,550 year)
- general practitioner (from $ 144,768 to $ 388,320 year)
- orthopedic surgeon (from $ 325,000 to $ 375,000 year)
- surgeon (from $ 100,000 to $ 375,000 year)
- emergency medicine physician (from $ 24,180 to $ 300,000 year)
- hospitalist (from $ 183,519 to $ 300,000 year)
- telephone triage nurse (from $ 54,600 to $ 280,560 year)
- cardiologist (from $ 25,000 to $ 275,675 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
SuperAnnotateScottsdale, Arizona, 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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