Rust Engineer

About the Role

As an hourly paid, fully remote Rust Engineer for AI Data Training, you will review AI-generated Rust code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. Your work will directly help improve the world’s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.

This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs.

Responsibilities

• Create detailed prompts and responses to guide AI learning across various topics.
• Evaluate and rank AI responses to enhance model accuracy, fluency, and contextual relevance.
• Assess solutions for correctness, safety, and adherence to prompts, including identifying errors in ownership, borrowing, lifetimes, algorithmic reasoning, and performance or concurrency concerns.
• Fact-check information and validate model outputs for potential inaccuracies or biases.
• Write high-quality explanations and model solutions that demonstrate idiomatic Rust patterns.
• Rate and compare multiple AI responses based on correctness and reasoning quality.

Qualifications

• 1–2+ years of professional Rust development experience in backend, CLI, or systems-focused projects.
• Strong understanding of Rust’s ownership, borrowing, and lifetime model, and ability to reason about aliasing and data races.
• Solid software engineering experience in backend services, command-line tools, or systems programming using Rust.
• Ability to evaluate safe, idiomatic Rust code, including appropriate use of traits, generics, pattern matching, and error handling.
• Significant experience using LLMs or AI coding assistants while programming, with disciplined validation of their output.
• Excellent English writing skills (minimum C1), capable of producing precise, structured, pedagogical technical explanations.
• Minimum Bachelor’s degree in Computer Science or a closely related technical field.
• Previous experience with AI data training, large-scale code review, or evaluation of AI-generated technical content is strongly preferred.
• Highly preferred: experience with Tokio, Actix, Serde, and async Rust patterns in production or advanced side projects.
• Preferred: competitive programming experience, contributions to Rust open-source ecosystems, and demonstrated ability to reason about performance, concurrency, and correctness.

Additional Information

• There is no immediate project; if qualified, you will be among the first experts contacted for relevant opportunities and gain access to future projects through the expert network.
• Hourly, contract work with flexibility; work is remote and detail-oriented.