Java Jobs in Timmins, ON
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Senior Java Engineer
SuperAnnotateTimmins, Ontario, CAEntry Level Equity Trader Job in Timmins, ON | Full Time
Maverick TradingTimmins, ON, CanadaApplication Support Analyst
Juventus ConsultingOntarioJPC -1459 - Senior Software Engineer
ITS GlobalOntarioiOS Engineer III, Feeds / Business Experience
redditRemote, Ontario, CanadaIntermediate Programmer Analyst
Medavie Blue CrossON, CA- Guelph, ON (from $ 119,870 to $ 166,614 year)
- Sherbrooke, QC (from $ 120,407 to $ 163,761 year)
- Surrey, BC (from $ 80,438 to $ 161,710 year)
- Sault Ste. Marie, ON (from $ 103,183 to $ 161,606 year)
- Glace Bay, NS (from $ 101,250 to $ 157,007 year)
- Thunder Bay, ON (from $ 101,250 to $ 157,007 year)
- Oshawa, ON (from $ 150,334 to $ 156,000 year)
- Richmond, BC (from $ 114,281 to $ 156,000 year)
- Hamilton, ON (from $ 95,309 to $ 156,000 year)
- Richmond Hill, ON (from $ 100,000 to $ 156,000 year)
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Senior Java Engineer
SuperAnnotateTimmins, Ontario, 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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