Rust Engineer for AI Data Training

YO IT CONSULTING • United State
Remote
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AI Summary

Review AI-generated Rust code, evaluate reasoning quality, and provide expert feedback to improve AI models. Develop AI training content, optimize AI performance, and ensure model integrity. Strong Rust development experience and excellent English writing skills required.

Key Highlights
Review AI-generated Rust code
Evaluate reasoning quality and provide expert feedback
Develop AI training content
Optimize AI performance
Ensure model integrity
Key Responsibilities
Develop AI training content
Optimize AI performance
Ensure model integrity
Technical Skills Required
Rust LLMs AI coding assistants Traits Generics Pattern matching Error handling
Benefits & Perks
Remote work
Flexible work arrangement
Nice to Have
Tokio
Actix
Serde
Async Rust patterns
Competitive programming experience
Contributions to Rust open-source ecosystems

Job Description


Contract

Remote

Role Description

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, a fast-growing AI Data Services company and subsidiary of 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.

Your Profile

  • 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.

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