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Sql data analyst Jobs in Topeka, KS
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Sql data analyst • topeka ks
Remote Senior SQL Engineer - AI Trainer
SuperAnnotateTopeka, Kansas, US- Promoted
Sr Data Analyst
OracleTopeka, KS, United States- Promoted
Business Analyst
CleoTopeka, KS, United StatesClaims BUSINESS ANALYST
RIT SolutionsTopeka, KS, United States- New!
Data Analyst, Advanced Analytics
Cardinal HealthTopeka, KS, United States- Promoted
Senior Data Analyst, Internal Audit IT
CoinbaseTopeka, KS, United StatesData Analyst - Insurance - REMOTE
Work At Home Vintage ExpertsTopeka, KS, US- Promoted
EDI Analyst
ASM Research, An Accenture Federal Services CompanyTopeka, KS, United StatesIT Governance Analyst / Senior Analyst
Federal Home Loan Bank of TopekaTopeka, KS, United States- Promoted
Entry Level Data Analyst / Engineer
SynergisticITTopeka, KS, United States- Promoted
Data Analyst with strong medicaid Exp
CLOUDSCOUTS SOFTWARE SOLUTIONS LLCTopeka, KS, United States- Promoted
Staff Software Engineer - Flink SQL
ConfluentTopeka, KS, United States- Promoted
Senior Business Systems Analyst (Informatica and Master Data Management)
Highmark HealthTopeka, KS, United States- Promoted
Business Analyst
AllSTEM ConnectionsTopeka, KS, USBusiness Analyst
Kansas StaffingTopeka, KS, United States- Promoted
Senior Data Analyst
Eliassen GroupTopeka, KS, United StatesSQL developer
Dellfor Technologies DefunctTopeka, KS, United StatesSenior Functional Analyst
SSGTopeka, Kansas, USAIT Governance Analyst / Senior Analyst
FHLBank TopekaTopeka, KS, United States- art director (from $ 84,372 to $ 213,050 year)
- software architect (from $ 127,500 to $ 209,400 year)
- product engineer (from $ 67,500 to $ 204,000 year)
- mental health counselor (from $ 85,000 to $ 200,000 year)
- health psychologist (from $ 181,310 to $ 200,000 year)
- business development director (from $ 105,000 to $ 195,985 year)
- business operations manager (from $ 87,500 to $ 185,808 year)
- cloud architect (from $ 125,000 to $ 177,349 year)
- architect (from $ 100,000 to $ 176,800 year)
- platform engineer (from $ 102,546 to $ 175,162 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
SuperAnnotateTopeka, Kansas, 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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