About The Role
What if your systems engineering expertise could directly shape how the world's most advanced AI models are built, trained, and evaluated? We're looking for Senior Systems Engineers to work alongside leading AI labs — designing and building the high-performance pipelines, annotation tooling, and evaluation infrastructure that make next-generation AI possible.
This is a fully remote contract role for engineers who move fast, think deeply about systems, and want their work to matter. If you write production-grade Go, Rust, Python, or C++ and care about correctness, performance, and scale — this is built for you.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 20–40 hours/week
What You'll Do
Design, build, and optimize high-performance backend systems using Go, Rust, Python, or C++
Develop tooling and services powering large-scale data annotation, validation, and evaluation workflows
Build and maintain reliable data pipelines that support AI model training and benchmarking
Improve performance, scalability, and correctness across production codebases
Collaborate with data, research, and engineering teams on model-facing infrastructure
Identify bottlenecks, edge cases, and failure modes across systems and data flows
Participate in architecture and implementation reviews to continuously raise the bar
Who You Are
5+ years of professional experience in Go, Rust, Python, or C++
Strong systems or backend engineering background with production experience
Proven track record building reliable services, internal tooling, or data pipelines
Sharp instincts for performance, reliability, and correctness at scale
Clear communicator — both in writing and in technical discussions
Able to commit 20–40 hours per week consistently
Nice to Have
Experience with data annotation, data quality systems, or evaluation pipelines
Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
Background in distributed systems or high-throughput data processing
Experience building developer tooling or internal platform infrastructure
Why Join Us
Work on real, high-impact infrastructure alongside leading AI research labs
Fully remote — work from wherever you do your best work
Flexible contract engagement with meaningful, senior-level technical problems
Contribute to systems that directly influence how the next generation of AI is built and evaluated
Potential for ongoing work and contract extension as projects scale