Rust Architect / Backend Developer

OpenTrain AI, Inc.; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a remote contractor to tackle Rust backend challenges, focusing on correctness, reliability, scalability, and production readiness. The role offers ~15 hours per week with flexible scheduling and fully remote work.

Candidates should demonstrate strong practical Rust skills from professional, research, or open-source work. The engagement emphasizes architecture decisions and repeatable testing workflows in a distributed environment.

Qualifications

• Experience: Entry level
• Strong practical Rust skills from substantial professional, research, or open-source software work.
• Ability to work remotely with flexible, 15-hour per week schedule.

Responsibilities

• Solve and validate Rust backend problems involving service behavior, APIs, persistence, concurrency, performance, and reliability.
• Turn functional requirements and performance targets into repeatable implementation and testing workflows.
• Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized environments.
• Analyze backend behavior and judge correctness, scalability, maintainability, and production readiness.
• Debug complex backend behavior and validate expected failure handling.

Skills

Rust

Backend

APIs

Concurrency

Performance

Reliability

Testing

Job description

Work on AI training projects that test Rust backend systems, APIs, concurrency, infrastructure, and reliability. This remote contractor role offers flexible work of about 15 hours per week.

Remote

Contract, part-time

Engagement

Remote

Location

Oct 24, 2026

Posted

Open in 52 countries

Portugal + more

• Algeria
• Argentina
• Austria
• Bahrain
• Bangladesh
• Belgium
• Brazil
• Canada
• Chile
• Colombia
• Denmark
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Indonesia
• Italy
• Japan
• Jordan
• Kazakhstan
• Kenya
• Kuwait
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Nigeria
• Oman
• Pakistan
• Palestine
• Peru
• Philippines
• Portugal
• Qatar
• Saudi Arabia
• Singapore
• South Africa
• Spain
• Sri Lanka
• Switzerland
• Taiwan
• Thailand
• Tunisia
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The Work

You will solve and evaluate Rust backend problems for AI training work. The focus is on whether services are correct, reliable, maintainable, scalable, and ready for production use.

• Solve and validate Rust backend problems involving service behavior, APIs, persistence, concurrency, performance, and reliability.
• Turn functional requirements and performance targets into repeatable implementation and testing workflows.
• Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized environments.
• Analyze backend behavior and judge correctness, scalability, maintainability, and production readiness.
• Debug complex backend behavior and validate expected failure handling.

What It Pays and Takes

The applicable compensation structure and rate are confirmed for assigned work. The role is suited to someone who can make technical decisions about Rust architecture and backend platforms.

• Pay: The applicable compensation structure and rate are confirmed for assigned work.
• Time: About 15 hours per week, with flexible scheduling. Weekend work is allowed if the work remains active.
• Location: Fully remote and open to candidates in the supported hiring locations listed for this role.
• Experience: Strong practical Rust skills from substantial professional, research, or open-source software work.
• Backend knowledge: Service design, APIs, data systems, concurrency, asynchronous systems, infrastructure, and production software architecture.
• Technical analysis: Ability to assess backend correctness, performance, scalability, or reliability.
• Architecture: Demonstrated ownership of Rust architecture and platform-level technical decisions.
• Helpful experience: Reproducible development and testing environments using databases, dependency services, configuration, and containers.

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About AI Training Work

AI training work uses human judgment to improve artificial intelligence systems. In coding projects, experienced developers review software behavior, test results, and model-generated code so systems can become more accurate and reliable.

Requirements

• Experience: Entry level