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Sql data analyst Jobs in Sioux Falls, SD
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Sql data analyst • sioux falls sd
Remote Senior SQL Engineer - AI Trainer
SuperAnnotateSioux Falls, South Dakota, USConfiguration Analyst
AveraSioux Falls, South Dakota, USA- Promoted
Analyst, Workforce Management
TTECSioux Falls, South Dakota, United StatesTechnical Support Analyst
Sunbird Software Inc.Sioux Falls, SD, US- Promoted
IT Business Analyst
ViaflexSioux Falls, SD, United StatesApplications Analyst
Silencer CentralSioux Falls, SD, US- Promoted
Senior System Analyst
Southern New Hampshire UniversitySioux Falls, SD, United States- Promoted
Analyst - Prog Support
MAXIMUSSioux Falls, SD, United States- Promoted
Data Analyst / Junior Analyst (Remote – Entry-Level)
GOLD GATESioux Falls, South Dakota- Promoted
Data Analyst / Scientist - Remote
SynergisticITSioux Falls, SD, United States- Promoted
Tax Analyst (Remote)
Cengage GroupSioux Falls, SD, United StatesSystem Analyst
First InterstateSioux Falls, SD, United StatesData Modeler
Sanford HealthSioux Falls, South Dakota, USA- Promoted
Ag Credit Analyst
The First National Bank in Sioux FallsSioux Falls, SD, USSupply Chain Analyst
Building Products Inc.Sioux Falls, SD, United StatesData Engineer
Omnitech, Inc.Sioux Falls, SD, USSupply Chain Analyst
Avera HealthSioux Falls, SD, United States- Promoted
Tax Analyst (Remote)
South Dakota StaffingSioux Falls, SD, US- Promoted
Procurement Operations Analyst
POETSioux Falls, SD, United States- associate dentist (from $ 135,000 to $ 250,000 year)
- engineering director (from $ 147,500 to $ 241,268 year)
- software engineering manager (from $ 173,513 to $ 235,300 year)
- environmental engineering (from $ 62,455 to $ 232,300 year)
- client relationship manager (from $ 51,875 to $ 231,200 year)
- software architect (from $ 145,000 to $ 220,020 year)
- director of engineering (from $ 135,000 to $ 216,300 year)
- computer engineering (from $ 62,455 to $ 216,200 year)
- fpga design engineer (from $ 168,700 to $ 216,200 year)
- computer security (from $ 135,000 to $ 216,200 year)
- Newark, NJ (from $ 130,000 to $ 190,320 year)
- Richmond, VA (from $ 87,019 to $ 187,500 year)
- Richmond, CA (from $ 87,019 to $ 187,500 year)
- Salt Lake City, UT (from $ 80,000 to $ 158,325 year)
- Kansas City, MO (from $ 81,250 to $ 156,000 year)
- Oklahoma City, OK (from $ 80,000 to $ 156,000 year)
- West Valley City, UT (from $ 78,000 to $ 156,000 year)
- New York, NY (from $ 88,140 to $ 154,300 year)
- Jersey City, NJ (from $ 80,000 to $ 154,300 year)
- Orange, CA (from $ 70,000 to $ 150,000 year)
The average salary range is between $ 77,499 and $ 126,740 year , with the average salary hovering around $ 97,399 year .
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Remote Senior SQL Engineer - AI Trainer
SuperAnnotateSioux Falls, South Dakota, 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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