C++ Developer — Internal Tooling & Optimization (AI Training)
About The Role
What if your C++ expertise could directly shape the infrastructure behind the most advanced AI systems in the world? We're looking for experienced C++ engineers to design, build, and optimize the internal tooling and data pipelines that power next-generation AI research and production workflows.
This is a fully remote, flexible contract role for engineers who thrive at the intersection of systems performance, data infrastructure, and high-impact technical work. You'll be embedded in real engineering workflows alongside leading AI labs — writing code that matters.
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 AI data pipelines and evaluation workflows
Develop backend services and full-stack tooling for large-scale data annotation, validation, and quality control
Improve reliability, performance, and safety across existing production C++ codebases
Profile and benchmark code to identify bottlenecks in data processing systems and implement scalable solutions
Embed scripting languages within C++ applications to create flexible, extensible internal tools
Collaborate with data, research, and engineering teams to accelerate model training and evaluation
Participate in synchronous design reviews to iterate on system architecture and implementation decisions
Who You Are
Native or fluent English speaker with strong written and verbal communication skills
Full-stack developer with a deep systems programming background
3–5+ years of professional experience writing production-grade C++
Experienced in embedding scripting languages within C++ applications for flexible tooling
Skilled at profiling code and identifying performance bottlenecks in data-intensive systems
Able to commit 20–40 hours per week consistently
Self-directed and reliable when working in a remote, asynchronous environment
Nice to Have
Prior experience with data annotation, data quality, or AI evaluation systems
Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
Experience with distributed systems or developer tooling at scale
Background in systems design for high-throughput or low-latency environments
Why Join Us
Work on real production systems alongside top AI research labs — not toy projects
Fully remote and flexible — structure your work around your life
Freelance autonomy with the substance of high-impact, technically demanding work
Contribute directly to infrastructure that shapes the future of AI development
Potential for ongoing contracts and expanded scope as new projects launch