Rust Engineer

SME Careers; Brasil; Remote; BRL 83,000 - 165,000; Part time

Benefits offered by this job

Flexible schedule

Remote contract work

Job summary

SME Careers, a fast-growing AI Data Services company, seeks an experienced Rust Engineer for remote, contract-based work focused on AI data training and model evaluation. You will review Rust code, assess ownership and lifetimes, and provide high-quality explanations to improve model outputs.

You will also craft content, validate AI-generated solutions, and help ensure safety and correctness across diverse use cases while collaborating with an expert network.

Qualifications

• 1–2+ years of professional Rust development experience in backend, CLI, or systems-focused projects.
• Strong understanding of Rust ownership, borrowing, and lifetimes; 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 traits, generics, pattern matching, and error handling.
• Significant experience using LLMs or AI coding assistants while programming; disciplined output validation.
• Excellent English writing skills, capable of precise, structured explanations.
• Minimum Bachelor's degree in Computer Science or related field.
• Experience with Rust ecosystems and performance/concurrency reasoning is highly preferred.

Responsibilities

• Develop AI training content: create prompts and responses to guide AI learning.
• Optimize AI performance: evaluate and rank AI responses for accuracy and relevance.
• Ensure model integrity: test models for biases and inaccuracies across use cases.

Skills

Rust

Backend development

CLI tooling

Systems programming

Ownership/borrowing

Async Rust

Error handling

English writing

Education

Bachelor's degree in Computer Science

Tools

Tokio

Actix

Serde

Async patterns

Job 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 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.

Important

There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

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.

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 is 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.