C++ Developer - Internal Tooling & Optimization

Alignerr Corp.; Seattle (WA); Remote; USD 83,000 - 165,000; Part time

Job summary

Alignerr Corp. seeks a skilled C++ Developer to design, build, and optimize internal tooling and data pipelines powering AI research and production workflows. The role is remote, hourly, with 20–40 hours per week, demanding strong C++ production experience and a background in high-performance systems.

You will embed scripting languages in C++ applications, enhance reliability and performance, and collaborate across data, research, and engineering teams to accelerate model training and evaluation.

Qualifications

• 3–5+ years of professional experience writing production-grade C++.
• Experience embedding scripting languages within C++ applications for flexible tooling.
• Native or fluent English with strong written and verbal communication skills.

Responsibilities

• 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.

Skills

C++

Performance profiling

Scripting embedding

Distributed systems

Tools

Git

Job description

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.

• 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