Rust Engineer - AI Training

Rust Engineer - AI Training at Braintrust

As an hourly paid, fully remote Rust Engineer for AI Data Training with SME Careers, a subsidiary of SuperAnnotate, you will play a crucial role in refining the world's premier AI models. This position involves reviewing and generating AI-generated Rust code and explanations, evaluating the quality of reasoning and step-by-step problem-solving, and providing expert feedback to ensure accurate, logical, and clearly explained AI outputs. Your work directly contributes to improving AI models while offering the flexibility of impactful, detail-oriented remote contract work.

Role Description

In this role, you will assess solutions for correctness, safety, and adherence to prompts, meticulously identifying errors related to ownership, borrowing, lifetimes, or algorithmic reasoning. Fact-checking information and writing high-quality explanations that demonstrate idiomatic Rust patterns are key. You will also be responsible for rating and comparing multiple AI responses based on their correctness and the quality of their reasoning.

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, with the ability to reason clearly about aliasing and data races.
• Solid software engineering experience in at least one of 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, combined with a disciplined approach to validating their output.
• Excellent English writing skills, capable of producing precise, structured, and pedagogical technical explanations.
• Minimum Bachelor’s degree in Computer Science or a closely related technical field.
• Previous experience with AI data training, code review at scale, or evaluation of AI-generated technical content is strongly preferred.
• Minimum C1 English proficiency and an extremely detail-oriented working style are required.
• 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 in Rust code.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Key skills/competency

• Rust Programming
• AI Data Training
• Code Review
• Algorithmic Reasoning
• Ownership and Borrowing
• Lifetime Model
• Idiomatic Rust
• LLM Usage
• Technical Writing
• Quality Assurance