C Team Lead, Quality Assurance

OpenTrain AI, Inc.; United States; Remote; USD 83,000 - 103,000; Part time

Benefits offered by this job

Remote work

Job summary

OpenTrain AI, Inc. is seeking a remote, part-time C Team Lead to review AI-generated C code, debugging outputs, and trainer QA work.

You will help ensure correctness, safety, portability, and clear explanations while guiding contributors and improving documentation and guidelines for the review process. The role emphasizes strong C expertise, memory-management awareness, and experience leading or supporting remote technical teams.

Qualifications

• Expertise in C programming with a strong track record in systems programming.
• Proven ability to review code and debugging explanations for accuracy, safety, and portability.
• Experience mentoring or guiding remote technical contributors and teams.

Responsibilities

• Review AI-generated C code, debugging answers, tests, and trainer QA work for correctness and safety.
• Assess compile-time validity, runtime behavior, memory safety, portability, and readability.
• Provide concise feedback, document recurring issues, and help onboard new contributors.

Skills

C programming

Code review

Memory safety analysis

Debugging

Technical mentoring

Remote collaboration

English communication

Tools

GCC

Clang

MSVC

Make

CMake

GDB

Valgrind

POSIX APIs

Unit testing

GitHub

CI/CD

Static analysis

Job description

Review AI-generated C code and trainer QA work as a remote C Team Lead in the United States. Work 20+ hours per week as a contractor and earn up to $75 per hour.

Remote Hourly · $75/hr

$75/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Jul 8, 2026

Posted

Open to applicants in

United States

The work

You will review AI-generated C code, debugging answers, tests, technical explanations, and trainer QA work. Your reviews will help assess whether C training content is correct, safe, clear, portable, and aligned with its rubric.

You will also support contributors and improve the review process by documenting recurring issues, updating guidance, and helping with onboarding and quality workflows.

• Check compile-time validity, runtime behavior, memory safety, pointer logic, portability, performance, readability, formatting, and instruction-following.
• Review pointers, arrays, memory allocation, structs, function pointers, file I/O, bitwise operations, tests, and algorithmic solutions.
• Identify memory leaks, use-after-free issues, invalid pointer arithmetic, race conditions, undefined behavior, and other correctness or safety problems.
• Flag unsafe, misleading, non-compilable, memory-unsafe, or non-production-ready C recommendations.
• Provide concise written feedback, monitor quality, upscale critical problems, and answer contributor questions.
• Maintain style guides, trackers, FAQs, examples, calibration tasks, quality documentation, and other review materials.
• Support contributor activation follow-up, onboarding, and communication about guideline changes.

What it pays and takes

This is a remote, part-time contractor role focused on candidates in the United States. The expected commitment is 20 or more hours per week.

• Pay: Up to $75 per hour.
• Location: Remote, with a United States hiring focus.
• Strong C expertise and practical experience in systems programming, code review, quality assurance, or technical mentoring.
• Solid knowledge of compilation and linking, memory allocation, pointers, arrays, structs, function pointers, undefined behavior, file I/O, bitwise operations, and portability.
• Clear English communication skills and the ability to give concise technical feedback.
• Experience leading or supporting remote technical teams, or experience with AI training and rubric-based code review, is highly preferred.
• Helpful tools and background include GCC, Clang, MSVC, Make, CMake, GDB, LLDB, Valgrind, sanitizers, embedded toolchains, POSIX APIs, unit testing, GitHub, CI/CD, profiling, static analysis, Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.

About AI training work

AI training is the human work behind systems that generate and understand code. Reviewers assess model outputs and provide clear feedback so future systems produce more accurate, safe, and useful results.