Senior C Engineer

SME Careers

Brasil

On-site

BRL 120,000 - 150,000

Full time

14 days+

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Job summary

SME Careers, a fast-growing AI data services company, is seeking a Senior C Engineer to work remotely. In this role, you will review and generate high-quality AI-generated C code and contribute to performance-critical applications. The ideal candidate will have expertise in C programming, with at least 4 years of experience, and a Bachelor's degree in Computer Science. Responsibilities include developing AI training content, optimizing performance, and ensuring model integrity. Strong English proficiency and experience in technical writing are required.

Qualifications

  • 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 and memory management.
  • Comfort working with version control, CI/CD workflows, and automated testing for C projects.

Responsibilities

  • Create detailed prompts and responses to guide AI learning.
  • Evaluate and rank AI responses to enhance model accuracy and fluency.
  • Test AI models for potential inaccuracies or biases.

Skills

C programming expertise
Low-level debugging
Memory management
Systems programming concepts
Technical writing
Version control

Education

Bachelor’s degree in Computer Science or related field

Tools

Build systems
Debugging tools

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.
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