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Pl sql developer Jobs in Orlando, FL
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Pl sql developer • orlando fl
Remote Senior SQL Engineer - AI Trainer
SuperAnnotateOrlando, Florida, USSQL Developer
ThreatLockerOrlando, FL, United StatesBusiness Intelligence Developer - (Tableau,Thoughtspot,SQL)
AssistrxOrlando, Florida, United States- Promoted
Sr SDET - API Testing and SQL - Tampa / Mississauga
PhotonOrlando, FL, United States- New!
Developer
SSGOrlando, Florida, USAAPEX Developer
AbacusOrlando, FL, United States- Promoted
Data Engineer - Python / SQL
HTC Global ServicesOrlando, FL, United States- Promoted
NodeJS Developer
Omni InclusiveOrlando, FL, United StatesQA Developer
Buddy's Home Furnishings - Orlando Corporate OfficeOrlando, FL, USJava / SQL Developer
Atria GroupOrlando, FL, United StatesWeb Developer
Professional Staffing Services GroupOrlando, FL, USBusiness Intelligence Developer - (Tableau,Thoughtspot,SQL)
AssistRxOrlando, FL, US- Promoted
Data Engineer - Python / SQL
HTC Global Services IncOrlando, Florida, United StatesSoftware Developer
PaynuityOrlando, Florida, United StatesTraining Developer
LeidosOrlando, Florida, USASQL Developer
Crawford Thomas RecruitingOrlando, FloridaSoftware Developer
SYNERGY SETTLEMENT SERVICES, INC.Orlando, FL, US- Promoted
ServiceNow Developer
MindlanceOrlando, FL, United StatesSoftware Developer
Synergy Settlement ServicesOrlando, FL, United StatesThe average salary range is between $ 107,250 and $ 120,000 year , with the average salary hovering around $ 116,550 year .
- nephrology (from $ 88,524 to $ 350,000 year)
- hospitalist (from $ 182,984 to $ 287,500 year)
- chief medical officer (from $ 131,875 to $ 265,000 year)
- associate dentist (from $ 156,400 to $ 250,000 year)
- control engineer (from $ 102,463 to $ 250,000 year)
- controls engineer (from $ 95,000 to $ 250,000 year)
- customer relations manager (from $ 57,500 to $ 250,000 year)
- dentist (from $ 146,313 to $ 250,000 year)
- general dentist (from $ 183,750 to $ 250,000 year)
- ups driver (from $ 146,250 to $ 243,750 year)
- Baltimore, MD (from $ 126,994 to $ 195,750 year)
- San Francisco, CA (from $ 107,250 to $ 192,087 year)
- San Jose, CA (from $ 106,214 to $ 192,087 year)
- San Mateo, CA (from $ 104,142 to $ 192,087 year)
- Coral Springs, FL (from $ 90,000 to $ 165,750 year)
- Houston, TX (from $ 117,975 to $ 161,237 year)
- Austin, TX (from $ 97,500 to $ 159,640 year)
- Newport News, VA (from $ 96,330 to $ 159,120 year)
- Little Rock, AR (from $ 93,600 to $ 150,000 year)
- Round Rock, TX (from $ 93,600 to $ 150,000 year)
The average salary range is between $ 101,732 and $ 138,320 year , with the average salary hovering around $ 117,000 year .
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Remote Senior SQL Engineer - AI Trainer
SuperAnnotateOrlando, Florida, US- Full-time
- Remote
As a Senior SQL Engineer, you will work remotely on an hourly paid basis to review AI-generated SQL queries, database designs, and data-processing logic, as well as generate high-quality reference solutions and explanations for complex data problems. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology, query structure, indexing strategy, or conceptual understanding; fact-check data-related claims; write clear, step-by-step explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness, performance, and reasoning quality.
This is a fully remote, hourly paid contractor role with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your SQL and database engineering expertise will directly contribute to improving the world’s premier AI models used across industries.
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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