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Java programming Jobs in Moreno Valley, CA
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Java programming • moreno valley ca
Remote Senior Java Engineer - AI Trainer
SuperAnnotateRedlands, California, US- Promoted
Java Architect
TradeJobsWorkForce92522 Riverside, CA, USBackend Java Engineer II - Data Pipelines
EsriCA, RedlandsJava full stack developer
SuccessstoneitRiverside, CA, United StatesJava / Full Stack Developer with Cloud - Entry Level
SynergisticITRiverside, CA, United States- owner operator (from $ 60,640 to $ 250,000 year)
- records manager (from $ 51,547 to $ 232,000 year)
- psychiatrist (from $ 40,000 to $ 225,000 year)
- site engineer (from $ 109,959 to $ 219,981 year)
- energy analyst (from $ 94,682 to $ 215,000 year)
- renewable energy (from $ 105,000 to $ 215,000 year)
- energy engineer (from $ 100,000 to $ 209,976 year)
- associate dentist (from $ 140,716 to $ 209,400 year)
- customer service director (from $ 74,000 to $ 205,000 year)
- data scientist (from $ 125,000 to $ 201,500 year)
The average salary range is between $ 90,000 and $ 162,565 year , with the average salary hovering around $ 120,938 year .
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Remote Senior Java Engineer - AI Trainer
SuperAnnotateRedlands, California, 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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