AI Summary
Design and build high-performance C++ systems for large-scale AI data pipelines and evaluation workflows. Collaborate with cross-functional teams to accelerate AI model training and evaluation. Work remotely with leading AI labs on cutting-edge research.
Key Highlights
Design, build, and optimize high-performance C++ systems
Collaborate with data, research, and engineering teams
Work on problems that matter in AI development
Key Responsibilities
Design, build, and optimize high-performance C++ systems
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
Participate in synchronous design reviews to iterate on architecture and implementation decisions
Technical Skills Required
Benefits & Perks
Fully remote and flexible work
Tackle genuinely hard technical problems
Potential for ongoing work and contract extension
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
Job Description
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
- 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
Interested in remote work opportunities in Development & Programming? Discover Development & Programming Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 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
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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
- 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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