Business Analyst – Spanish (AI Training) About the Role What if your background in business analysis and team leadership could help shape how the world's most advanced AI understands finance, strategy, and commerce?
Data Infrastructure Developer (C++)
Remote (Global)
$50 – $75/hr
July 14, 2026
Job description
Data Infrastructure Developer (C++)
About the Role
What if your deep C++ expertise could directly shape the infrastructure that powers the world's most advanced AI systems? We're looking for a Senior C++ Full-Stack Engineer to build and optimize the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on every day.
This is a fully remote contract role with serious technical depth — real production systems, meaningful engineering challenges, and direct collaboration with top AI research teams.
- 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 supporting large-scale data annotation, validation, and quality control
- Improve reliability, performance, and safety across existing C++ codebases
- Collaborate with data, research, and engineering teams to support model training and evaluation at scale
- Identify bottlenecks and edge cases in data and system behavior — then implement scalable, production-ready fixes
- 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++
- Deep expertise in efficient binary serialization formats
- Hands-on experience implementing zero-copy data exchange protocols for high-speed pipelines
- Able to commit 20–40 hours per week with reliability and professionalism
Nice to Have
- Prior experience with data annotation, data quality pipelines, or evaluation systems
- Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
- Background in distributed systems or developer tooling
Why Join Us
- Work directly with leading AI labs on real production systems — not toy projects
- Fully remote and flexible — work from anywhere on a schedule that suits you
- Freelance autonomy with the structure of meaningful, high-stakes engineering work
- Make a tangible impact on the infrastructure shaping the future of AI
- Potential for ongoing work and contract extension as projects scale
Apply now
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