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Entry level engineering Jobs in Quesnel, BC
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Entry level engineering • quesnel bc
Remote Senior C Engineer - AI Trainer
SuperAnnotateQuesnel, British Columbia, CAEntry-Level Research Assistant (Remote)
FocusGroupPanelQuesnel, British Columbia, Canada- Promoted
English Private Tutoring Jobs Quesnel
SuperprofQuesnel, CanadaPharmacy Assistant - PT
SafewayQuesnel, British Columbia, CAfood services manager
Tim HortonsQuesnel, BC, CAWildfire Fighter Crew Leader
Wright Canada Holdings LtdQuesnel, British ColumbiaEntry Level Operator – QRP
Millar WesternQuesnel River Pulp Division- Promoted
IT Service Desk Analyst
DraxQuesnel, BC, CanadaLICENSED PRACTICAL NURSE (LPN), LONG TERM COMPLEX CARE
Northern Health AuthorityQuesnel, British Columbia, CanadaEnvironmental Field Technician (Summer 2026)
StantecQuesnel, BCSpecialized Caregiver Supports
Axis Family Resources Ltd.Quesnelpizza cook
Domino'sQuesnel, BC, CA- Greater Sudbury, ON (from $ 43,631 to $ 175,500 year)
- Burnaby, BC (from $ 89,986 to $ 170,195 year)
- West Vancouver, BC (from $ 52,894 to $ 162,237 year)
- North Vancouver, BC (from $ 52,894 to $ 162,237 year)
- Vancouver, BC (from $ 52,894 to $ 162,237 year)
- East York, ON (from $ 127,479 to $ 127,918 year)
- North York, ON (from $ 127,479 to $ 127,918 year)
- Markham, ON (from $ 127,479 to $ 127,918 year)
- Old toronto, ON (from $ 121,010 to $ 127,744 year)
- St. John's, NL (from $ 73,878 to $ 127,635 year)
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Remote Senior C Engineer - AI Trainer
SuperAnnotateQuesnel, British Columbia, CA- Full-time
- Remote
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.