Python Offres d'emploi - Oshawa, ON
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Python • oshawa on
- Nouvelle offre
Senior Python Engineer
SuperAnnotateAjax, Ontario, CASoftware Engineer 2
360insightsWhitby, Canada25-199 - Data Engineer
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Farm Credit CanadaVarious FCC office s in Ontario may be consideredPrincipal Investigator - Cybersecurity
Durham CollegeOshawa- Offre sponsorisée
Senior Systems Administrator
Targeted TalentOshawa, ON, CanadaOPEN : Data Engineer
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redditRemote, Ontario, CanadaOPEN : Data Engineer
CPUS Engineering Staffing Solutions Inc.OshawaSoftware Implementation Intern
Deighton AssociatesWhitby, Ontario, CanadaData Scientist II
Intact Financial CorporationAjax, Ontario, CANVirtualization & SIL Integration Engineer - Early Career
General MotorsOshawa, Durham Region, CASenior Data Scientist II
RELXOntarioSenior Python Engineer
SuperAnnotateAjax, Ontario, CA- Temps plein
- Télétravail
As a Senior Python Engineer, you will work remotely on an hourly paid basis to review AI-generated Python solutions and technical explanations, as well as generate high-quality reference content that demonstrates strong software engineering practices. You will assess solutions for correctness, code quality, performance, and adherence to the prompt; identify errors in logic, architecture, or methodology; fact-check technical information; craft clear, step-by-step explanations and exemplary solutions; and rate and compare multiple AI responses based on their reasoning quality and implementation soundness.
This is a fully remote, hourly paid contractor role 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 Python 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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