Senior Systems Engineer — AI Data & Infrastructure (Remote)
About The Role
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Position
Senior Systems Engineer — AI Data & Infrastructure(Go, Rust, Python, or C++)
Type: Contract Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience and location)
Role Responsibilities
Must-Have
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Position
Senior Systems Engineer — AI Data & Infrastructure(Go, Rust, Python, or C++)
Type: Contract Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience and location)
Role Responsibilities
- Design, build, and optimize high-performance systems using Go, Rust, Python, or C++
- Develop tooling and backend services for large-scale data annotation, validation, and evaluation workflows
- Build and maintain reliable data pipelines supporting AI training and benchmarking
- Improve performance, scalability, and safety across existing codebases
- Collaborate with data, research, and engineering teams on model-facing infrastructure
- Identify bottlenecks, edge cases, and failure modes in data and system behavior
- Participate in synchronous reviews to iterate on architecture and implementation decisions
Must-Have
- 5+ years of professional experience in Go, Rust, Python, or C++
- Strong systems or backend engineering background
- Experience building production services, tooling, or data pipelines
- Ability to reason about performance, reliability, and correctness
- Clear written and verbal communication skills
- Ability to commit 20–40 hours per week
- Experience with data annotation, data quality, or evaluation systems
- Familiarity with AI/ML workflows, model training, or benchmarking pipelines
- Experience with distributed systems or high-throughput data processing
- Background in developer tooling or internal infrastructure
- Submit your resume
- Complete screening and assessment
- Project matching and onboarding