Data Infrastructure Developer (C++)

Alignerr Corp.; Seattle (WA); Remote; USD 83,000 - 138,000; Part time

Job summary

Alignerr is seeking a senior C++ engineer to design, build, and optimize high-performance data pipelines, annotation tooling, and evaluation systems for AI labs. This fully remote contract role offers 20–40 hours per week and real production impact.

You will work on production-grade C++ code, collaborate with cross-functional teams, and help scale AI data workflows with zero-copy data exchange and efficient serialization.

Qualifications

• 3–5+ years of professional experience writing production-grade C++.
• Experience with high-performance data pipelines and tooling.

Responsibilities

• Design, build, and optimize high-performance C++ systems for AI data pipelines and evaluation workflows.
• Develop full-stack tooling and backend services for large-scale data annotation and quality control.
• Improve reliability and performance across existing C++ codebases.
• Identify bottlenecks and implement scalable, production-grade fixes.
• Collaborate with data, research, and engineering teams to support model training at scale.
• Participate in design reviews to refine architecture and implementation.

Skills

C++

Systems programming

Zero-copy I/O

Binary serialization

Performance optimization

Full-stack tooling

Job description

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.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 20–40 hours/week

What You'll Do

• 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

Who You Are

• 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

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

Why Join Us

• 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