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Sql developer Jobs in Seattle, WA
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Sql developer • seattle wa
Remote Senior SQL Engineer - AI Trainer
SuperAnnotateSeattle, Washington, USSoftware Development Manager, AWS Distributed SQL
Amazon Development Center U.S., Inc.Seattle, Washington, USAtutor - SQL
BUKISeattle, WA, USSQL Support Engineer
INSPYR SolutionsSeattle, WACF Developer
Stanley 1913Seattle, Oregon, USAAEM Developer
VDart IncBellevue, Washington, USA- Promoted
Job Developer
Urban League of Metropolitan SeattleSeattle, WA, USSQL Developer
VirtualVocationsRenton, Washington, United States- Promoted
Exclusive opening - SQL Server Database Architect
Resource Informatics Group IncSeattle, WA, US- Promoted
USA_Developer
VariteSeattle, WA, USDeveloper - Developer II
AmpcusSeattle, WA- Promoted
Oracle Developer
iSoftTek Solutions IncBellevue, WA, US- Promoted
Senior Product Manager - Tech, AWS Distributed SQL
Seattle StaffingSeattle, WA, US- Promoted
ETL Developer
Zone IT SolutionsSeattle, WA, US- Promoted
AI Developer
Davis Wright TremaineSeattle, WA, United States- Promoted
PHP Developer
Enhanced Payment SystemsSeattle, WA, USBackend Developer
HasbroRenton, Washington, United States- Promoted
ServiceNow Developer
LightedgeSeattle, WA, US- Promoted
Senior Product Manager - Tech, AWS Distributed SQL
AmazonSeattle, WA, USThe average salary range is between $ 97,500 and $ 145,000 year , with the average salary hovering around $ 100,450 year .
- diagnostic radiologist (from $ 197,746 to $ 250,984 year)
- paid relocation (from $ 103,925 to $ 250,000 year)
- economist (from $ 124,100 to $ 247,600 year)
- medical affairs (from $ 106,250 to $ 245,250 year)
- hospitalist (from $ 126,438 to $ 244,750 year)
- pediatrician (from $ 225,000 to $ 244,558 year)
- medical editor (from $ 233,000 to $ 243,850 year)
- patent attorney (from $ 170,940 to $ 242,750 year)
- customer relations manager (from $ 44,410 to $ 240,900 year)
- sound engineer (from $ 69,992 to $ 239,556 year)
- Austin, TX (from $ 96,769 to $ 150,800 year)
- Norfolk, VA (from $ 87,500 to $ 150,000 year)
- San Francisco, CA (from $ 95,597 to $ 146,523 year)
- Houston, TX (from $ 95,256 to $ 145,600 year)
- Seattle, WA (from $ 97,500 to $ 145,000 year)
- New York, NY (from $ 100,000 to $ 140,786 year)
- Los Angeles, CA (from $ 97,500 to $ 140,000 year)
- Denver, CO (from $ 84,600 to $ 136,500 year)
- Atlanta, GA (from $ 91,450 to $ 136,305 year)
- Dallas, TX (from $ 100,000 to $ 135,558 year)
The average salary range is between $ 91,891 and $ 135,005 year , with the average salary hovering around $ 107,281 year .
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Remote Senior SQL Engineer - AI Trainer
SuperAnnotateSeattle, Washington, 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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