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Python developer Jobs in New Orleans, LA
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Python developer • new orleans la
Remote Senior Python Engineer - AI Trainer
SuperAnnotateHarahan, Louisiana, USAutomation Systems Developer - Cygnet
OxyMultiple LocationsLead Developer – Work From Home
Next Step Systems – Recruiters for Information Technology Jobs Top IT Recruiting FirmNew Orleans, LA, USAGenAI Python Systems Engineer –Senior Manager
PwCNew Orleans,LAETL Developer
EMERGENT METHODSoutheastern United States, LA, USMedia Content Developer
Tulane UniversityNew Orleans, LA, USSenior Software Developer
MaximusNew Orleans, USNSIPS Software Developer Sr | Secret Clearance
General Dynamics Information TechnologyNew Orleans, Louisiana, United States of AmericaPython Software Developer
DXC TechnologyNEW ORLEANS,LA,USAGenAI Python Systems Engineer-Director
PricewaterhouseCoopers Advisory Services LLCNew Orleans,LA.NET Developer
Parks Professional PlacementMetairie, LA- New!
Full Stack Developer
Juno HealthNew Orleans, LA, USManager, AI Application Developer
KPMGNew Orleans, LAMaximo Developer
EquiliemNew Orleans, LASmart Manufacturing Developer
SAAB SeaeyeMultiple Locations- Promoted
Junior java Microservices developer / Data analyst
SynergisticITNew Orleans, LA, USSalesforce Developer, Data 360 - Remote
Hancock WhitneyNew Orleans, LA- New!
Maximo Developer
PEAK Technical StaffingNew Orleans, LAPeoplesoft Developer - Remote
ASP Web SolutionsNew Orleans, LA, USThe average salary range is between $ 114,959 and $ 171,454 year , with the average salary hovering around $ 133,146 year .
- physician (from $ 59,949 to $ 242,814 year)
- owner operator (from $ 60,000 to $ 240,000 year)
- director of software engineering (from $ 185,000 to $ 239,875 year)
- freelance writing (from $ 38,002 to $ 232,781 year)
- crna (from $ 50,000 to $ 228,000 year)
- independent contractor (from $ 48,750 to $ 225,000 year)
- associate dentist (from $ 50,000 to $ 225,000 year)
- chief financial officer (from $ 125,000 to $ 225,000 year)
- general counsel (from $ 125,842 to $ 222,103 year)
- principal software engineer (from $ 144,814 to $ 222,072 year)
- Hollywood, FL (from $ 100,000 to $ 268,125 year)
- Berkeley, CA (from $ 135,000 to $ 244,125 year)
- Yonkers, NY (from $ 140,000 to $ 240,000 year)
- Westminster, CO (from $ 98,125 to $ 240,000 year)
- Rio Rancho, NM (from $ 130,150 to $ 202,500 year)
- Fresno, CA (from $ 95,000 to $ 200,000 year)
- Huntsville, AL (from $ 132,500 to $ 191,000 year)
- Knoxville, TN (from $ 100,000 to $ 190,375 year)
- Madison, WI (from $ 89,700 to $ 190,000 year)
- Boston, MA (from $ 125,000 to $ 183,060 year)
The average salary range is between $ 102,523 and $ 156,000 year , with the average salary hovering around $ 124,453 year .
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Remote Senior Python Engineer - AI Trainer
SuperAnnotateHarahan, Louisiana, US- Full-time
- Remote
As a Senior Python Engineer, you will work remotely on an hourly paid basis to review AI-generated Python solutions and technical explanations, as well as generate high-quality reference content that demonstrates strong software engineering practices. You will assess solutions for correctness, code quality, performance, and adherence to the prompt; identify errors in logic, architecture, or methodology; fact-check technical information; craft clear, step-by-step explanations and exemplary solutions; and rate and compare multiple AI responses based on their reasoning quality and implementation soundness.
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, where your Python expertise will directly help improve the world’s premier AI models.
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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