Senior C Engineer

SME Careers; Brasil; Presencial; BRL 120 000 - 150 000; Tempo integral

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

C programming expertise

Low-level debugging

Memory management

Systems programming concepts

Technical writing

Version control

Formação académica

Bachelor’s degree in Computer Science or related field

Ferramentas

Build systems

Debugging tools

Descrição da oferta de emprego

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.