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Ruby developer Jobs in Indianapolis, IN
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Ruby developer • indianapolis in
Remote Ruby Engineer - AI Trainer
SuperAnnotateLawrence, Indiana, USDeveloper
Tata Consultancy ServicesIndianapolis, INShift Leader-US 31 South-7671
ruby-tuesdayIndianapolis, IN- Promoted
District Business Developer
SavATree LLCIndianapolis, IN, US- Promoted
ServiceNow Developer
innovitusaIndianapolis, Indiana, USA- Promoted
SCADAMES Developer
Recutify Inc.Indianapolis, Indiana, USA- Promoted
Full Stack Developer
PrecinmacIndianapolis, Indiana, USA- Promoted
Consulting Bus Developer
Primetals TechnologiesIndianapolis, Indiana, United StatesCook
Ruby TuesdayIndianapolis, IN, United States- Promoted
SCADAMES Developer
MetaRPOIndianapolis, Indiana, USA- Promoted
ForgeRock Developer
Syntricate TechnologiesIndianapolis, IN, United States- Promoted
Cobol Developer
Defense Finance and Accounting ServiceIndianapolis, Indiana, USA- Promoted
Salesforce Application Developer
Indiana Public Retirement SystemIndianapolis, IN, US- Promoted
Web Developer
Community Health NetworkIndianapolis, Indiana, USA- Promoted
Sr. Batch Developer
BCforwardIndianapolis, IN, United States- Promoted
Senior RPA Developer
CTCIndianapolis, Indiana, USA- Promoted
Network Developer 4
Indianapolis StaffingIndianapolis, IN, United States- Promoted
Junior Database Developer
Meyer DistributingIndianapolis, IN, USThe average salary range is between $ 83,196 and $ 129,375 year , with the average salary hovering around $ 85,000 year .
- mail carrier (from $ 44,265 to $ 300,000 year)
- owner operator (from $ 78,770 to $ 250,000 year)
- chief medical officer (from $ 193,102 to $ 250,000 year)
- hospitalist (from $ 30,000 to $ 250,000 year)
- subcontractor (from $ 101,250 to $ 241,250 year)
- pediatrician (from $ 80,000 to $ 235,000 year)
- medical director (from $ 75,633 to $ 230,000 year)
- physician (from $ 50,000 to $ 230,000 year)
- crna (from $ 175,000 to $ 230,000 year)
- dentist (from $ 150,000 to $ 225,000 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
SuperAnnotateLawrence, Indiana, 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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