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Database engineer Jobs in St. Catharines, ON

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Database engineer • st catharines on

Last updated: 2 days ago

Remote Senior C Engineer - AI Trainer

SuperAnnotateSt. Catharines, Ontario, CA
Remote
Full-time

As a Senior C Engineer, you will work remotely on an hourly paid basis to review AI-generated C code, low-level systems designs, and technical explanations, as well as generate high-quality referen...Show more

Teaching Assistant MBAB 5P13 Spring D4

Brock UniversitySt. Catharines, Main Campus
Part-time

Brock University is located on the traditional territory of the Haudenosaunee and Anishinaabe peoples, many of whom continue to live and work here today.This territory is covered by the Upper Canad...Show more

Sr Product Support Engineer (Manufacturing)

TreowGroup RecruitmentNiagara, ON, Canada
Full-time +1

Niagara-based manufacturing client, is seeking a.Senior Product Support Engineer.Our Client’s commitment to Customer Service is what sets them apart.The team is committed to doing what's right for ...Show more

Remote Senior SQL Engineer - AI Trainer

SuperAnnotateSt. Catharines, Ontario, CA
Remote
Full-time

As a Senior SQL Engineer, you will work remotely on an hourly paid basis to review AI-generated SQL queries, database designs, and data-processing logic, as well as generate high-quality reference ...Show more

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Remote Senior C Engineer - AI Trainer

Remote Senior C Engineer - AI Trainer

SuperAnnotateSt. Catharines, Ontario, CA
30+ days ago
Job type
  • Full-time
  • Remote
Job description

As a Senior C Engineer, you will work remotely on an hourly paid basis to review AI-generated C code, low-level systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; 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. Your systems-level C expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

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.

Your Profile :

  • Bachelor’s degree or higher in Computer Science, Electrical / Computer Engineering, or a closely related technical field.
  • 4+ years of professional experience developing production software in C for systems, embedded, or performance-critical applications.
  • Expert-level proficiency in C, including deep understanding of pointers, memory management, undefined behavior, and low-level debugging.
  • Strong background in systems programming concepts such as concurrency, operating systems, hardware interaction, and performance optimization.
  • Hands-on experience with build systems, compilers, linkers, and debugging tools commonly used in C development.
  • Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
  • Proven experience conducting detailed code reviews and enforcing coding standards for safety and maintainability in C codebases.
  • Comfort working with version control, CI / CD workflows, and automated testing for C projects.
  • Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
  • Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in low-level code.