Senior C++ Engineer

SME Careers; Remote; IDR 200.000.000 - 300.000.000; Part time

Job summary

A fast-growing AI data services company is seeking a Senior C++ Engineer to work remotely on reviewing AI-generated C++ code and creating training content. Candidates should have at least 4 years of experience in C++ development and a bachelor’s degree in a related field. The role involves evaluating AI performance and ensuring model integrity. With responsibilities including code review and optimization, this position demands strong C++ proficiency and detailed technical explanations, offering flexible hours and an innovative work environment.

Qualifications

• 4+ years of experience in C++ development for performance-critical applications.
• Expert-level proficiency with modern C++ features.
• Experience in conducting detailed C++ code reviews.

Responsibilities

• Create AI training content with detailed prompts.
• Evaluate and rank AI responses for accuracy.
• Test AI models for biases and reliability.

Skills

C++ programming

Systems programming

Debugging

Performance optimization

Memory management

Detailed code reviews

Version control

CI/CD workflows

Technical explanations

English proficiency

Education

Bachelor’s degree in Computer Science or related field

Tools

C++ build systems

Compilers

Linkers

Profiling tools

Job description

As a Senior C++ Engineer, you will work remotely on an hourly paid basis to review AI-generated C++ code, 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, where your C++ and systems 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, performance‑critical, or large‑scale applications.
• Expert‑level proficiency in modern C++ (C++11 and later), including templates, move semantics, smart pointers, and the STL.
• Strong background in systems programming concepts such as concurrency, operating systems, low‑level performance optimization, and memory management.
• Hands‑on experience with C++ build systems, compilers, linkers, debuggers, and profiling or analysis tools.
• 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 C++ code reviews and enforcing coding standards for safety, performance, and maintainability.
• Comfort working with version control, CI/CD workflows, and automated testing frameworks in modern 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 complex C++ code.