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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. You will assess solutions for correctness, safety, and adherence to the prompt; identify errors in ownership, borrowing, lifetimes, or algorithmic reasoning; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Rust patterns; and rate and compare multiple AI responses based on correctness and reasoning quality. 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. Your work will directly help improve the world’s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.
Job Responsibility:
Review AI-generated Rust code and explanations or generate your own
Evaluate the reasoning quality and step-by-step problem-solving
Provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained
Assess solutions for correctness, safety, and adherence to the prompt
Identify errors in ownership, borrowing, lifetimes, or algorithmic reasoning
Fact-check information
Write high-quality explanations and model solutions that demonstrate idiomatic Rust patterns
Rate and compare multiple AI responses based on correctness and reasoning quality
Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning
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
Requirements:
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
Minimum C1 English proficiency and an extremely detail-oriented working style are required
Nice to have:
Previous experience with AI data training, code review at scale, 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 in Rust code
What we offer:
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