- Search jobs
- Pasadena, TX
- sql data analyst
Sql data analyst Jobs in Pasadena, TX
Create a job alert for this search
Sql data analyst • pasadena tx
Remote Senior SQL Engineer - AI Trainer
SuperAnnotatePasadena, Texas, USLab Analyst- Mold
Eurofins USA Environment TestingPasadena, TX, USEDI Analyst
CGSTexasFinancial Analyst - Hydrocarbon Accounting
PEMEX Deer ParkDeer Park, TX, US- Promoted
Cybersecurity Forensic Analyst
LubrizolDeer Park, TX, United States- New!
Laboratory Data Entry Technician
Camin Cargo Control Inc.Pasadena, TX, US- Promoted
Asset Management Analyst
AggrekoPearland, TX, United States- Promoted
Estimator for Data Centers
PetroplanPasadena, TX, USData Analyst
Quality Talent GroupPasadena, Texas, United States- Promoted
Netflix Data Analyst
TradeJobsWorkforce77075 Houston, TX, USSenior SEO Data Analyst Job at Spokeo in Pasadena
SpokeoPasadena, TX, United StatesScheduling Data Coordinator
Quanta ServicesChannelview, TX, United StatesCustomer Service / Data Entry
Alltex Staffing PersonnelSouth Houston, TX, United StatesQualified Behavior Analyst (QBA)
Apara Autism CentersPearland, TX, USData Analyst Expert
VirtualVocationsPasadena, Texas, United StatesQC Analyst QC Analyst
TalentBurst, Inc.Pasadena, TX, USData Scientist - Strategic Data Intelligence (Data Intelligence Office)
HOUSTON INDEPENDENT SCHOOL DISTRICTWest th Street, Houston, Texas (US-TX), -, United States- Promoted
Credit Analyst
TradeJobsWorkForce77061 Houston, TX, US- Promoted
Category Analyst - General Merchandise
Buc-ee'sPearland, TX, US- dentist (from $ 37,050 to $ 240,000 year)
- psychiatrist (from $ 40,350 to $ 226,000 year)
- fire protection engineer (from $ 59,010 to $ 225,000 year)
- database manager (from $ 82,500 to $ 199,795 year)
- communications director (from $ 82,500 to $ 198,425 year)
- content writer (from $ 63,581 to $ 195,000 year)
- machine learning engineer (from $ 140,000 to $ 189,000 year)
- machine learning (from $ 140,000 to $ 187,500 year)
- clinical manager (from $ 115,000 to $ 186,362 year)
- cyber security (from $ 101,250 to $ 184,125 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 .
Related searches
Remote Senior SQL Engineer - AI Trainer
SuperAnnotatePasadena, Texas, 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 :