What are the responsibilities and job description for the Data Infrastructure Developer (C++) position at Alignerr?
About The Role
What if your C expertise could directly shape the infrastructure powering the next generation of AI? We're looking for a senior-level C engineer to build and optimize the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.
This is a fully remote contract role with serious technical depth — real production systems, real impact, and the flexibility to work on your own terms.
What if your C expertise could directly shape the infrastructure powering the next generation of AI? We're looking for a senior-level C engineer to build and optimize the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.
This is a fully remote contract role with serious technical depth — real production systems, real impact, and the flexibility to work on your own terms.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
- Design, build, and optimize high-performance C systems that power AI data pipelines and evaluation workflows
- Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
- Improve reliability, performance, and safety across existing C codebases
- Identify bottlenecks and edge cases in data and system behavior — then implement scalable, production-grade fixes
- Collaborate with data, research, and engineering teams to support model training and evaluation at scale
- Participate in synchronous design reviews to iterate on architecture and implementation decisions
- Native or fluent English speaker with clear written and verbal communication skills
- Full-stack developer with a strong systems programming background
- 3–5 years of professional experience writing production-grade C
- Expert in efficient binary serialization formats
- Experienced implementing zero-copy data exchange protocols for high-speed pipelines
- Able to commit reliably to 20–40 hours per week
- 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
- Work on real production systems alongside top AI research labs — not toy projects
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, ongoing technical work
- Make a direct, tangible impact on how the world's most advanced AI models are built and evaluated
- Potential for ongoing work and contract extension as new projects launch
Salary : $50 - $75