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Senior data analyst Jobs in Lafayette, LA
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Senior data analyst • lafayette la
Remote Senior Data Scientist - AI Trainer
SuperAnnotateBroussard, Louisiana, US- Promoted
Merchandising Analyst Intern
StullerLafayette, LA, United StatesCybersecurity Analyst (NOT REMOTE)
Techneaux Technology ServicesLafayette, LA, US- Promoted
Sr Credit Review Analyst
Hancock WhitneyLafayette, LA, USBusiness Analyst
i3 Verticals HealthcareLafayette, LA, US- Promoted
Senior Financial Planning & Analysis Analyst
VieMed, LLCLafayette, LA, USClaims Analyst
SCP HealthLafayette, LA, United States- Promoted
Senior Data Analyst
VirtualVocationsLafayette, Louisiana, United States- Promoted
SOC Analyst
Alabama StaffingLafayette, LA, United States- Promoted
Investigative Analyst
US Government JobsLafayette, LA, US- Promoted
Analyst, Corporate Tax
Wabash NationalLafayette, LA, USSOC Analyst
CGILafayette- Promoted
Sr. Financial Analyst
Abacus Service CorporationLafayette, LA, US- Promoted
Data Center Project Leader
180 EngineeringLafayette, LA, USSenior Financial Planning & Analysis Analyst
Sleep Management, LLCLafayette, LA, USData Entry Clerk
StaffmarkLafayette, LA, United StatesRemote Data Quality Analyst
FocusGroupPanelLafayette, Louisiana, United States- Promoted
Grant Analyst
Louisiana StaffingLafayette, LA, USData Entry Clerk
Staffmark GroupLafayette, LA, United StatesThe average salary range is between $ 122,800 and $ 174,720 year , with the average salary hovering around $ 122,800 year .
- software architect (from $ 239,520 to $ 244,260 year)
- intake coordinator (from $ 29,738 to $ 200,000 year)
- machine learning engineer (from $ 142,910 to $ 200,000 year)
- pediatric dentist (from $ 45,760 to $ 200,000 year)
- business development manager (from $ 72,500 to $ 195,000 year)
- engineering director (from $ 39,000 to $ 193,670 year)
- director of engineering (from $ 39,000 to $ 193,250 year)
- telecom engineer (from $ 155,525 to $ 185,150 year)
- telecommunications engineer (from $ 155,525 to $ 185,150 year)
- aerospace engineer (from $ 123,760 to $ 179,000 year)
- Costa Mesa, CA (from $ 102,338 to $ 182,000 year)
- Providence, RI (from $ 75,450 to $ 180,375 year)
- Concord, NC (from $ 90,000 to $ 177,310 year)
- Concord, CA (from $ 90,000 to $ 177,310 year)
- Lafayette, LA (from $ 122,800 to $ 174,720 year)
- Garland, TX (from $ 104,375 to $ 170,875 year)
- Huntsville, AL (from $ 101,125 to $ 170,100 year)
- Huntington Beach, CA (from $ 101,142 to $ 162,810 year)
- Pompano Beach, FL (from $ 101,142 to $ 162,810 year)
- Virginia Beach, VA (from $ 100,000 to $ 161,010 year)
The average salary range is between $ 87,509 and $ 139,661 year , with the average salary hovering around $ 105,700 year .
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Remote Senior Data Scientist - AI Trainer
SuperAnnotateBroussard, Louisiana, US- Full-time
- Remote
As a Senior Data Scientist, you will work remotely on an hourly paid basis to review AI-generated analytical reasoning, code, and model outputs, 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, modeling choices, or statistical reasoning; fact-check quantitative claims; write clear, step-by-step explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness 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 data science expertise will directly contribute to improving the world’s premier AI models used across products and 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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