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Junior java developer Jobs in Longmont, CO
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Junior java developer • longmont co
Remote Senior Java Engineer - AI Trainer
SuperAnnotateFirestone, Colorado, USSr. Storage Software Developer
PanasasNiwot, ColoradoMoodle Developer 1 Year Contract Denver, CO 80203 (Remote)
Lorven TechnologiesColorado, United StatesJunior Sales Representative
Canyon Creek Financial LLC.Erie, CO, US- psychiatrist (from $ 106,997 to $ 222,167 year)
- principal engineer (from $ 153,250 to $ 201,900 year)
- technical product manager (from $ 87,500 to $ 195,036 year)
- nurse practitioner (from $ 114,015 to $ 177,071 year)
- integration engineer (from $ 105,850 to $ 175,000 year)
- cyber security (from $ 134,875 to $ 175,000 year)
- construction management (from $ 162,000 to $ 170,100 year)
- software development manager (from $ 137,500 to $ 169,175 year)
- applications engineer (from $ 82,500 to $ 161,750 year)
The average salary range is between $ 67,419 and $ 107,250 year , with the average salary hovering around $ 80,000 year .
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Remote Senior Java Engineer - AI Trainer
SuperAnnotateFirestone, Colorado, 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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