Java software developer Jobs in Lee s summit mo
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Java software developer • lee s summit mo
Remote Senior Java Engineer - AI Trainer
SuperAnnotateLees Summit, Missouri, USSoftware Engineer, Platform - Lee's Summit, USA
SpeechifyLee's Summit, Missouri, United States- Promoted
.Net Developer
Integrity Marketing GroupBlue Springs, MO, United States- Promoted
Engineer -Test Software
Blue OriginGrandview, MO, United States- Promoted
Software Development Engineer
AmazonRaymore, MO, USAMulesoft Software Engineer
Core & MainMissouri, United StatesSR Developer - API & Integrations
GEHALee's Summit, MO- Promoted
SR Developer - API & Integrations
Government Employees Health AssociationLee's Summit, MO, United States- Promoted
Remote Side Hustle Developer
Finance BuzzPleasant Hill, Missouri, USRemote Senior Software Engineer / Coding Expert - AI Trainer ($120-$120 per hour)
MercorBlue Springs, Missouri, USRemote Senior Java Engineer - AI Trainer
SuperAnnotateLees Summit, Missouri, US- Full-time
- Remote
As a Senior Java Engineer, you will work remotely on an hourly paid basis to review AI-generated Java code, architectural solutions, and technical explanations, as well as generate high-quality reference implementations and reasoning steps. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in logic, performance, or design; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality.
This fully remote, hourly paid contractor role is 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 Java 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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