Senior Systems Engineer — AI Data & Infrastructure
Alignerr • Remote • Posted 0 days ago
Education
Any
Type
Pay Rate
$62.5/task
Posted
0d ago
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About this Role
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
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
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
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Software Engineering
Compensation Analysis
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 A
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Frequently Asked Questions
What is the assessment actually like?
Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests — a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.
How quickly can I start earning after I pass?
Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.
Is there a community?
Yes — and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the barrier to entry?
Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.