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Java programming Jobs in McKinney, TX
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Java programming • mckinney tx
Remote Senior Java Engineer - AI Trainer
SuperAnnotateMcKinney, Texas, USJava SDET Lead
Vytwo Technologies IncProsper, TX, US- Promoted
Java Architect
TradeJobsWorkForce75025 Plano, TX, US- business development director (from $ 209,750 to $ 248,000 year)
- psychiatrist (from $ 152,500 to $ 247,000 year)
- medical director (from $ 98,049 to $ 243,942 year)
- operations engineer (from $ 186,500 to $ 228,000 year)
- dentist (from $ 105,739 to $ 225,000 year)
- government (from $ 70,000 to $ 220,000 year)
- customer engineer (from $ 57,500 to $ 207,842 year)
- engineering director (from $ 162,635 to $ 203,556 year)
- general dentist (from $ 50,000 to $ 200,000 year)
- groomer (from $ 85,000 to $ 200,000 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
SuperAnnotateMcKinney, Texas, 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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