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Senior C++ Full-Stack Engineer — AI Data & Infrastructure
Job description
Senior C++ Full-Stack Engineer — AI Data & Infrastructure
About the Role
What if your systems programming expertise could directly shape the infrastructure powering the world's most advanced AI models? We're looking for Senior C++ Engineers to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation AI.
This is a fully remote, flexible contract role for engineers who write clean, fast, production-grade C++ and want to work on problems that genuinely matter.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
What You'll Do
- Design, build, and optimize high-performance C++ systems supporting large-scale AI data pipelines and evaluation workflows
- Develop full-stack tooling and backend services for data annotation, validation, and quality control
- Improve reliability, performance, and memory safety across existing production C++ codebases
- Identify bottlenecks and edge cases in system and data behavior — then implement scalable, production-ready fixes
- Collaborate with data, research, and engineering teams to accelerate model training and evaluation
- Participate in synchronous design reviews to iterate on architecture and implementation decisions
Who You Are
- Full-stack developer with a strong systems programming background
- 3–5+ years of professional experience writing production C++, with a focus on modern standards (C++17 or C++20)
- Deep familiarity with performance optimization, concurrency (threading, atomics), and memory safety (RAII, smart pointers, sanitizers)
- Native or fluent English speaker with clear written and verbal communication skills
- Able to commit 20–40 hours per week with professional reliability
- Self-directed and effective when working independently in a remote environment
Nice to Have
- Prior experience with data annotation, data quality systems, or evaluation pipelines
- Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
- Experience with distributed systems or developer tooling
- Exposure to working with research teams or in fast-moving technical environments
Why Join Us
- Work directly with leading AI labs on production systems that power cutting-edge research
- Fully remote and flexible — work when and where you're most productive
- Freelance autonomy with the substance of meaningful, high-impact engineering work
- Tackle genuinely hard technical problems with real consequences for AI development
- Potential for ongoing work and contract extension as new projects launch
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