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Ruby developer Jobs in Houston, TX
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Ruby developer • houston tx
Remote Ruby Engineer - AI Trainer
SuperAnnotateHouston, Texas, USDeveloper
Luxe5 International, Inc.Houston, TX, US- Promoted
Web Developer
TradeJobsWorkForce77063 Houston, TX, USApplication Developer
eTeamHouston, TX, United StatesUX Developer
ClifyXHouston, TX, United States- Promoted
BI Developer
ShiftCode AnalyticsHouston, TX, United States- Promoted
.Net Developer
Perry HomesHouston, TX, United States- Promoted
Developer
WESCO InternationalHouston, TX, United StatesPython Developer
VirtualVocationsHouston, Texas, United States- Promoted
SBPA Developer | RPA Developer
Kaav Inc.Houston, TX, United StatesJava Developer
Zone IT SolutionsHouston, TX, USFlutter Developer
Staffing the UniverseHouston, TX, United StatesUI Developer
Zone It SolutionsHouston, Texas, United States- Promoted
Database Developer
Seven Seven SoftwareHouston, TX, United States- Promoted
Developer
PennroseHouston, TX, United States- Promoted
- New!
Mulesoft Developer
NLB ServicesHouston, TX, USSenior Ruby on Rails Developer
JobotHouston, TX, USFreelance Software Developer (Ruby) - AI Trainer
MindriftHouston, Texas, United States- Promoted
Business Developer
PuroClean of Central Southwest HoustonHouston, TX, United StatesThe average salary range is between $ 120,000 and $ 165,000 year , with the average salary hovering around $ 135,000 year .
- private banker (from $ 79,000 to $ 437,500 year)
- emergency medicine physician (from $ 52,000 to $ 429,468 year)
- general surgeon (from $ 75,000 to $ 425,000 year)
- thoracic surgeon (from $ 50,000 to $ 417,243 year)
- medical recruiter (from $ 73,840 to $ 400,000 year)
- surgeon (from $ 44,850 to $ 400,000 year)
- diagnostic radiologist (from $ 200,000 to $ 397,500 year)
- chief medical officer (from $ 363,750 to $ 390,000 year)
- general surgery (from $ 83,655 to $ 355,000 year)
- orthopedic surgeon (from $ 81,000 to $ 342,998 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
SuperAnnotateHouston, Texas, 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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