AI Engineer

Cross Border Talents; United States; On-site; USD 83,000 - 165,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Job summary

Cross Border Talents is seeking an experienced AI Engineer to join our remote contractor team. You will design and evaluate AI systems, creating challenging tasks that test solver abilities across modern software stacks.

Strong software engineering skills trump prior AI experience. You will build reproducible environments, verification workflows, and reference solutions while working flexibly from anywhere with a fully remote setup.

Qualifications

• Proficiency in one or more of listed languages (C++, Python, Java, Go, TypeScript, or Rust).
• Strong fundamentals in algorithms and data structures.
• Experience debugging complex software issues.
• Experience with performance optimization and scalable code.

Responsibilities

• Create realistic AI evaluation tasks for software engineers.
• Develop reinforcement learning environments using Model Context Protocol (MCP) tools.
• Design tasks involving bug fixes, feature implementation, refactoring, and performance optimization.
• Build deterministic verification and testing processes to evaluate solutions.
• Develop reference or golden solutions for benchmarking.
• Ensure environments are reproducible, reliable, and representative of real-world engineering workflows.
• Analyze complex codebases to identify meaningful engineering challenges.
• Document tasks, solutions, and evaluation criteria clearly.

Skills

C++

Python

Java

Go

TypeScript

Rust

Tools

MCP tools

Job description

AI Engineer

Job Type: Contractor
Location: Remote
Schedule: Flexible — choose your preferred hours and days, including weekends
Openings: 100
Rate: $60–$120/hour

About the Role

We're looking for experienced software engineers to help evaluate and improve next-generation AI systems. In this role, you'll use your software engineering expertise to create challenging, realistic tasks that test how well AI models can solve complex programming problems.

You'll design reinforcement learning environments where AI agents interact with real software projects and tools to diagnose and solve engineering challenges. Assignments may include debugging, implementing new features, refactoring existing code, and improving performance.

You'll also create reproducible environments, reliable verification systems, and reference solutions that accurately evaluate an AI agent's reasoning, tool usage, and software engineering capabilities.

Prior AI or machine learning experience is not required. Strong software engineering expertise is the most important qualification.

Responsibilities

• Create realistic software engineering tasks for AI model evaluation.
• Develop reinforcement learning environments using Model Context Protocol (MCP) tools.
• Design tasks involving bug fixes, feature implementation, refactoring, and performance optimization.
• Build deterministic verification and testing processes to evaluate solutions.
• Develop high-quality reference or golden solutions for benchmarking.
• Ensure environments are reproducible, reliable, and representative of real-world engineering workflows.
• Analyze complex codebases and identify meaningful engineering challenges.
• Document tasks, solutions, and evaluation criteria clearly.

Required Qualifications

• Strong proficiency in one or more of C++, Python, Java, Go, TypeScript, or Rust.
• Solid understanding of algorithms, data structures, and software engineering fundamentals.
• Demonstrated experience debugging complex software issues.
• Strong experience developing features and refactoring existing codebases.
• Experience with performance optimization and scalability.
• Excellent written and verbal communication skills.
• Strong attention to detail and ability to produce reliable, high-quality work.
• Ability to work independently and collaborate effectively in a remote environment.

Preferred Qualifications

• Experience working with large-scale or distributed codebases.
• Familiarity with AI, machine learning, or agent-based systems.
• Experience with rigorous code reviews and software development best practices.
• Familiarity with developer tools, APIs, testing frameworks, or automated evaluation systems.

Why Join?

• $60–$120/hour depending on experience and expertise.
• Flexible schedule.
• Fully remote.
• Opportunity to contribute to the development and evaluation of advanced AI systems.
• Work on challenging, real-world software engineering problems.
• No prior AI experience required.