About the Role
Contract
Remote
Role 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, a fast-growing AI data services company and subsidiary of 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.
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.
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.
