C Quality Assurance Lead (QAL)

Job Summary

As a C Quality Assurance Lead (QAL), you will oversee quality, consistency, and contributor performance across C programming AI training projects.

This role involves reviewing AI-generated C code, evaluating trainer and QA outputs, maintaining quality standards, and ensuring training data aligns with project requirements and client expectations.

Your work will directly contribute to improving advanced AI systems by ensuring C training content is accurate, compilable, efficient, memory-safe, portable, and clearly explained.

Key Responsibilities

Quality Monitoring

• Spot-check C programming tasks and QA outputs
• Identify recurring quality issues and performance gaps
• Provide actionable written feedback and escalate critical concerns

Code Review

• Review and evaluate:

  • C programs
  • Systems programming code
  • Embedded programming examples
  • Debugging responses
  • Pointer and memory-management examples
  • Algorithm implementations
  • Unit tests
  • Technical explanations

• Assess work for:

  • Compile-time validity
  • Runtime correctness
  • Memory safety
  • Pointer logic
  • Portability
  • Performance
  • Readability
  • Maintainability

Trainer & QA Communication

• Communicate updates regarding:
  • Guidelines
  • Workflow changes
  • C-specific review standards
  • Quality expectations

Contributor Support

• Answer questions involving:
  • Pointers
  • Memory allocation
  • Compilation and linking
  • Undefined behavior
  • Portability
  • Embedded systems constraints
  • Testing
  • Rubric interpretation

Activation Management

• Follow up with inactive contributors
• Track engagement and participation
• Report contributor availability concerns

Documentation & Onboarding

• Create and maintain:

  • Style guides
  • Documentation
  • FAQs
  • Examples
  • Calibration tasks
  • Onboarding materials

• Conduct onboarding and training sessions for contributors

Risk & Quality Review

• Identify and flag:
  • Buffer overflows
  • Memory leaks
  • Use-after-free issues
  • Invalid pointer arithmetic
  • Undefined behavior
  • Race conditions
  • Non-compilable code
  • Hallucinated APIs
  • Unsafe implementation guidance

Process Improvement

• Improve QA workflows and review processes
• Identify recurring quality gaps and implement corrective actions

Required Qualifications

• Bachelor's or Master's degree in:
  • Computer Science
  • Software Engineering
  • Computer Engineering
  • Electrical Engineering

or equivalent professional experience.

• Strong English communication skills

• Minimum 3 years of experience in:

  • C programming
  • Systems programming
  • Embedded development
  • Firmware development
  • Operating systems
  • Performance engineering
  • Code review
  • QA
  • Technical mentoring

• Strong understanding of:

  • Pointers
  • Arrays
  • Memory allocation
  • Structs
  • Function pointers
  • Preprocessor macros
  • Header files
  • Compilation and linking
  • Undefined behavior
  • File I/O
  • Bitwise operations
  • Portability

• Ability to identify:

  • Buffer overflows
  • Memory leaks
  • Use-after-free vulnerabilities
  • Invalid pointer operations
  • Race conditions
  • Non-compilable code
  • Hallucinated APIs

Preferred Qualifications

• Experience with:

  • GCC
  • Clang
  • MSVC
  • Make
  • CMake
  • GDB
  • LLDB
  • Valgrind
  • Sanitizers

• Familiarity with:

  • Embedded toolchains
  • POSIX APIs
  • Static analysis tools
  • Profiling tools
  • GitHub
  • CI/CD systems

• Experience leading:

  • Engineers
  • Trainers
  • Reviewers
  • QA teams
  • Remote contributors

• Experience with:

  • AI training
  • LLM evaluation
  • Code QA
  • Rubric-based code review

Why Join

• Help improve leading AI systems through technical quality assurance
• Flexible remote schedule
• Weekly payments
• Referral rewards and community incentives
• Access to future opportunities through SME Careers' expert network

Selection Process

1. AI Interview
2. Domain-Specific Assessment
3. Recruiter Interview

Important Note

There is currently no active project for this role. Qualified candidates will be added to the expert network and contacted when relevant opportunities become available.