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Java developer • fort saskatchewan ab
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Senior Java Engineer
SuperAnnotateFort Saskatchewan, Alberta, CAProprietary Trading Job in Lake Louise, AB | Full Time
Maverick TradingLake Louise, AB, Canada- Swan River, MB (from $ 159,073 to $ 163,999 year)
- Sault Ste. Marie, ON (from $ 122,288 to $ 162,825 year)
- Surrey, BC (from $ 69,225 to $ 160,095 year)
- Victoria, BC (from $ 105,000 to $ 157,709 year)
- London, ON (from $ 122,169 to $ 157,032 year)
- Burlington, ON (from $ 122,587 to $ 156,286 year)
- Hamilton, ON (from $ 92,500 to $ 156,000 year)
- Saskatoon, SK (from $ 113,531 to $ 156,000 year)
- Oshawa, ON (from $ 150,334 to $ 156,000 year)
- Richmond, BC (from $ 113,750 to $ 156,000 year)
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Senior Java Engineer
SuperAnnotateFort Saskatchewan, Alberta, CA- 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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