C++ Team Lead

AI Trainer Jobs; United States; Remote; USD 83,000 - 124,000; Full time

Job summary

SME Careers is hiring a C++ Quality Assurance Lead (QAL) as a remote hourly contractor to oversee quality across C++ AI training projects. You will review AI-generated C++ code, assess trainer work, and provide precise feedback to maintain client-aligned standards.

You will monitor code correctness, memory safety, performance, and readability; manage QA workflows across distributed teams; and contribute to style guides and onboarding materials.

Qualifications

• Bachelor’s or Master’s degree in CS/Engineering.
• Strong English communication and ability to follow guidelines.
• 3+ years of professional experience in C++ development, QA, or code reviews.
• Deep knowledge of modern C++ standards, RAII, templates, STL, memory management, and concurrency.
• Experience with code review, debugging, and performance optimization.

Responsibilities

• Quality monitoring of C++ items and providing feedback to contributors.
• Review AI-generated C++ code, tests, and explanations against rubrics.
• Coordinate with remote trainer/reviewer teams and update guidelines.
• Onboard and train new contributors, maintain C++ style guides.
• Identify recurring quality gaps and help build scalable QA processes.

Skills

C++

QA / code review

Backend engineering

Memory management

Performance engineering

Concurrency

Templates / STL

RAII

Documentation

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

Tools

CMake

GCC/Clang/MSVC

GDB/LLDB

Valgrind/Sanitizers

GoogleTest/Catch2

GitHub CI/CD

Job description

Pay: up to $75/hour

In this hourly, remote contractor role, you will work as a C++ Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across C++ AI training projects. You will review AI-generated C++ code and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected quality standards.

You will assess work for code correctness, compile-time validity, runtime behavior, memory safety, performance, algorithmic reasoning, debugging accuracy, readability, maintainability, formatting, instruction-following, and adherence to project-specific rubrics. This role requires strong C++ expertise, English communication skills, excellent attention to detail, and the ability to manage quality workflows across remote technical teams.

This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your C++ quality leadership will help ensure C++ training data is accurate, compilable, efficient, safe, clearly explained, and aligned with client expectations.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Important:

There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Responsibilities

• Quality monitoring: Spot-check C++ items, identify issues, provide feedback through DMs, and escape recurring or critical quality problems.
• Code review: Evaluate AI-generated C++ code, debugging responses, algorithmic solutions, tests, explanations, and performance recommendations.
• Trainer/QA communication: Update contributors on Discord about guideline changes, workflow updates, and C++-specific review standards.
• Question handling: Respond to questions around memory safety, compilation, templates, STL usage, concurrency, complexity, testing, and rubric interpretation.
• Activation management: DM inactive contributors, track follow-ups, and flag availability issues.
• Documentation: Create and maintain C++ style guides, trackers, FAQs, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding: Run onboarding/training calls covering project expectations, rubrics, and C++ quality standards.
• Risk review: Flag unsafe, non-compilable, misleading, inefficient, or non-production-ready C++ recommendations.
• Process improvement: Identify recurring quality gaps and build scalable QA processes.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, or equivalent professional software engineering experience.
• Strong grasp of English to follow guidelines and provide clear technical feedback.
• 3+ years of professional experience in C++ development, systems programming, performance engineering, embedded software, backend engineering, code review, QA, or technical mentoring.
• Strong understanding of modern C++ standards, RAII, smart pointers, templates, STL containers/algorithms, object lifetime, move semantics, concurrency, exceptions, memory management, and build systems.
• Ability to identify issues such as undefined behavior, memory leaks, dangling references, race conditions, inefficient algorithms, non-compilable code, hallucinated APIs, or incomplete explanations.
• Familiarity with CMake, GCC/Clang/MSVC, GDB/LLDB, sanitizers, Valgrind, GoogleTest, Catch2, Boost, GitHub, CI/CD, profiling, and static analysis tools is preferred.
• Experience leading or supporting remote teams of trainers, reviewers, engineers, coding mentors, or QAs is strongly preferred.
• Comfortable using Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project management systems.
• Highly organized and able to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and quality documentation.
• Experience with AI training, data annotation, LLM evaluation, code QA, or rubric-based code review is a strong plus.

Skills: LLM evaluation, Trainer Feedback, AI Training, C++ QA, C++, Code review, Debugging, Algorithms, Memory Management, Performance

Open to candidates in: The United States

Interview language: English