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Java programmer Jobs in Goodyear, AZ
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Java programmer • goodyear az
Remote Senior Java Engineer - AI Trainer
SuperAnnotateAvondale, Arizona, USLead CNC Programmer - Fabrication
Sub-Zero GroupGoodyearIn Center Registered Behavior Technician
Java Autism ServicesGoodyear, Arizona- Promoted
CNC Programmer
TriMas CorporationTolleson, AZ, US- Promoted
CNC Programmer
TriMasTolleson, AZ, US- Promoted
Junior Java Developer
SynergisticITAvondale, AZ, United States- radiologist (from $ 133,734 to $ 432,114 year)
- engineering director (from $ 158,213 to $ 222,250 year)
- data scientist (from $ 149,550 to $ 217,600 year)
- data management (from $ 85,266 to $ 217,600 year)
- system engineer (from $ 60,600 to $ 217,300 year)
- automation engineer (from $ 85,875 to $ 215,650 year)
- general dentist (from $ 192,400 to $ 200,000 year)
- project manager (from $ 68,250 to $ 200,000 year)
- pharmacist (from $ 127,866 to $ 190,840 year)
The average salary range is between $ 87,919 and $ 136,500 year , with the average salary hovering around $ 106,479 year .
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Remote Senior Java Engineer - AI Trainer
SuperAnnotateAvondale, Arizona, 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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