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Java programmer • high point nc
Remote Senior Java Engineer - AI Trainer
SuperAnnotateArchdale, North Carolina, USJava Developer III
Old Dominion Freight LineThomasville, NC, US- pediatric dentist (from $ 162,979 to $ 350,000 year)
- vp engineering (from $ 151,950 to $ 225,000 year)
- renewable energy (from $ 80,500 to $ 215,000 year)
- machine learning engineer (from $ 146,000 to $ 212,500 year)
- engineering director (from $ 135,338 to $ 210,525 year)
- machine learning (from $ 137,602 to $ 210,504 year)
- audio engineering (from $ 176,100 to $ 209,800 year)
- general dentist (from $ 50,000 to $ 203,000 year)
- principal software engineer (from $ 145,000 to $ 202,500 year)
- federal government (from $ 99,643 to $ 201,375 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
SuperAnnotateArchdale, North Carolina, 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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