- Search jobs
- Durham, NC
- pl sql developer
Pl sql developer Jobs in Durham, NC
Create a job alert for this search
Pl sql developer • durham nc
Remote Senior SQL Engineer - AI Trainer
SuperAnnotateDurham, North Carolina, USApplication Developer
AbacusDurham, NC, United States- Promoted
Salesforce Developer
ExecRecruitmentDurham, NC, United States- New!
Senior Tableau Developer
LabcorpDurham, North Carolina, USASailPoint Developer
CloroxDurham, NC, USA- Promoted
Epic BI Developer
Insight GlobalDurham, NC, United States- Promoted
Mobile Application Developer
Golden TechnologyDurham, NC, United StatesFrontend Developer _ Remote
Staffing the UniverseDurham, NC, United StatesSalesforce Apex Developer
PLANIT GroupDurham, NC, United StatesQA Test Automation Developer
CompunnelDurham, NC, United StatesSoftware Developer
Curve DentalDurham, NC, United StatesSenior Backend Developer
AffiniPayDurham, NC, United StatesQuantitative Developer
Duke Clinical Research InstituteDurham, NC, United StatesSalesforce Developer
Cynet SystemsDurham, NCQuantitative Developer
Duke HealthDurham, NC, USSalesforce Developer
HighCloud SolutionsDurham, North Carolina, USAWordPress Developer
InfuseDurham, NC, United States- Promoted
SW Developer Intern
IBMDurham, NC, United States- Promoted
Remote Side Hustle Developer
Finance BuzzCambridge, Maryland, USThe average salary range is between $ 112,694 and $ 133,120 year , with the average salary hovering around $ 121,875 year .
- sourcing manager (from $ 105,000 to $ 500,000 year)
- facilities director (from $ 95,920 to $ 250,000 year)
- medical director (from $ 185,335 to $ 235,000 year)
- physician recruiter (from $ 208,750 to $ 235,000 year)
- software engineering manager (from $ 150,000 to $ 234,000 year)
- performance engineer (from $ 107,250 to $ 233,490 year)
- dentist (from $ 59,375 to $ 231,360 year)
- psychiatrist (from $ 20,000 to $ 225,000 year)
- rehabilitation specialist (from $ 31,200 to $ 224,984 year)
- financial engineer (from $ 39,000 to $ 214,140 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 .
Related searches
Remote Senior SQL Engineer - AI Trainer
SuperAnnotateDurham, North Carolina, 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.
Your Profile :