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Ruby developer Jobs in Albuquerque, NM
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Ruby developer • albuquerque nm
Remote Ruby Engineer - AI Trainer
SuperAnnotateAlbuquerque, New Mexico, US- Promoted
Senior Software Developer
2025 Aug 28th ENSCOAlbuquerque, NM, United StatesSoftware Developer - Full Stack Developer
MINDSET Integrated Co.Albuquerque, New Mexico, United StatesSoftware Developer
ActalentAlbuquerque, New Mexico, USA- Promoted
Sr. Liferay Developer
Prime TherapeuticsAlbuquerque, NM, United States- Promoted
Software Developer I
New Mexico MutualAlbuquerque, NM, United States- Promoted
Senior Corporate Analytics Developer
RxBenefitsAlbuquerque, NM, United States- New!
React Developer
VirtualVocationsAlbuquerque, New Mexico, United StatesSenior Backend Developer
AffiniPayAlbuquerque, NM, United StatesServiceNow Developer / Architect
RIT SolutionsAlbuquerque, NM, United StatesSenior Automation Developer
Gap Inc.Albuquerque, NM, United States.Net Developer
Syntricate TechnologiesAlbuquerque, NM, United StatesZoho Developer
Nomad InternetAlbuquerque, NM, United StatesSenior Software Developer
EnscoAlbuquerque, New Mexico, United States- Promoted
Remote Side Hustle Developer
Finance BuzzAlbuquerque, New Mexico, US- Promoted
- New!
Junior OneStream Developer
MAXIMUSAlbuquerque, NM, United StatesInstructional System Developer
Dynamis, Inc.Albuquerque, NM, USDot Net Developer
DonyatiAlbuquerque, NM, United StatesServiceNow Admin / Developer
APN ConsultingAlbuquerque, NM, United StatesThe average salary range is between $ 90,600 and $ 101,950 year , with the average salary hovering around $ 90,600 year .
- low voltage electrician (from $ 26,813 to $ 446,238 year)
- hospital (from $ 31,200 to $ 235,000 year)
- physician (from $ 95,566 to $ 234,500 year)
- shipping and receiving (from $ 30,225 to $ 230,000 year)
- dentist (from $ 133,750 to $ 220,000 year)
- chief engineer (from $ 94,205 to $ 219,050 year)
- construction management (from $ 72,443 to $ 213,250 year)
- veterinarian (from $ 75,000 to $ 202,500 year)
- general dentist (from $ 100,000 to $ 200,000 year)
- nuclear engineer (from $ 130,450 to $ 195,750 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
SuperAnnotateAlbuquerque, New Mexico, 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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