Coding Expert - Rust

Coding Expert - Rust (Contract) Labelbox

• Remote (United States preferred) Shape the data that powers frontier AI

Quick facts

• Engagement - Hourly, at‑will contractor- Schedule - Fully remote & asynchronous (min. 15 hrs/week)- Pay Range (US)
• $25 – $100 per hour- Start Date - Rolling — staffed as projects launch

What you’ll do

• Review Rust code for memory safety, correctness, and idiomatic style.- Solve complex systems-level problems using Rust and explain your process.- Identify and correct flaws in AI output or unclear logic.- Summarize your approach and decision-making clearly and concisely.

You’re a great fit if

• Fluent in English with strong writing and communication skills.- Expertise in Rust: Ownership model, lifetimes, borrowing, traits, and concurrency.- 3-5 years of experience in Rust development or systems programming is a plus.- Bachelor’s degree (or pursuing one) in Computer Science or related field. Master’s or PhD preferred.- Bonus : Experience with data labeling, RLHF, or other AI training projects

About the role

Flexible workload — work from anywhere, on your own schedule - High impact — your craft directly improves models used by top AI labs & Fortune 500 teams - Clear ownership — know exactly what success looks like and have autonomy to deliver - Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs

Interview process

Complete a screening with Zara , our AI interviewer in English, to learn more about your background and experience.- Domain-specific Zara interview to assess your Rust expertise, including systems-level programming with a focus on memory safety, ownership, concurrency models, and low-level performance optimization. About Labelbox Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.

Ready to Apply? Click “Apply” above, and take one or more domain specific assessments.

We review candidates on a rolling basis and will contact you if your background matches an active project.