Senior Systems Engineer — AI Data & Infrastructure (Remote) at Alignerr

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

75.0

Posted On

12 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Go, Rust, Python, C++, Systems Engineering, Backend Engineering, Data Pipelines, Performance Optimization, Reliability, Data Annotation, AI/ML Workflows, Distributed Systems, High-Throughput Data Processing, Developer Tooling, Internal Infrastructure

Industry

technology;Information and Internet

Description

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 - 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 Qualifications 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 Preferred - 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 Application Process - Submit your resume - Complete screening and assessment - Project matching and onboarding \n \n $50 - $75 an hour \n

Responsibilities

The Senior Systems Engineer will design, build, and optimize high-performance systems while developing tooling and backend services for large-scale data workflows. They will also collaborate with various teams to improve performance and reliability across existing systems.