AI Engineer

Job Type: Independent Contractor

Location: Remote

Openings: 100

Commitment: ~15 hours/week

Schedule: Flexible — choose your own working hours and days

Pay: $60–$120/hour ( $46,800–$93,600 annualized , based on 15 hours/week)

About The Role We are looking for experienced software engineers to help build and evaluate next-generation AI systems through practical, software-engineering-focused tasks.

The role involves creating reinforcement learning environments that challenge AI models to solve realistic engineering problems using Model Context Protocol (MCP) tools . You will design technical tasks, establish reliable evaluation criteria, and develop reference implementations that allow AI systems to be measured against real-world engineering standards.

AI or machine learning experience is not required . Your expertise in software development, debugging, architecture, performance, and code quality is the primary qualification.

Key Responsibilities

• Design realistic software engineering challenges for AI agents.
• Build reinforcement learning environments involving MCP-based tool discovery and interaction.
• Create tasks covering bug resolution, feature development, refactoring, and performance optimization.
• Develop reproducible environments with predictable setup and execution.
• Implement deterministic tests and verification methods to assess AI-generated solutions.
• Produce high-quality reference implementations and golden solutions.
• Evaluate whether tasks accurately measure software engineering ability and effective MCP tool usage.
• Apply sound engineering judgment to ensure tasks reflect realistic development scenarios.
• Maintain a high standard for correctness, reliability, scalability, and reproducibility.

What We're Looking For

• Professional proficiency in one or more of C++, Python, Java, Go, TypeScript, or Rust.
• Strong command of algorithms and data structures.
• Practical experience debugging complex software problems.
• Demonstrated experience implementing features within established codebases.
• Strong understanding of refactoring and software maintainability.
• Experience identifying and resolving performance and scalability issues.
• Ability to understand complex technical requirements and translate them into working solutions.
• Excellent written and verbal communication.
• Strong attention to detail and commitment to technical quality.
• Ability to work independently while collaborating effectively with distributed teams.

Preferred Experience

• Large-scale or distributed systems.
• AI/ML, LLMs, agentic systems, or AI evaluation.
• Technical benchmarking or software evaluation.
• Advanced testing and automated verification.
• Code review and engineering quality processes.
• Open-source or other collaborative software development environments.

Application Process

• Submit your application and screening responses.
• Complete an approximately 30-minute AI interview.
• Complete a technical assessment, if applicable.
• Hiring team review.

Contract Details

• Engagement: Independent contractor
• Work arrangement: Fully remote
• Expected workload: Approximately 15 hours per week
• Working hours: Self-directed and flexible
• Weekend work: Permitted
• Start: Successful candidates are expected to begin within 24–48 hours of completing onboarding.
• Hiring timeline: Positions are typically filled within approximately 48 hours.

Compensation The engagement uses an output-based payment model . Contributors are paid for completed tasks that satisfy the applicable project specifications and quality standards.

The stated $60–$120/hour rate is provided as an equivalent reference based on expected task effort. Actual compensation depends on the number, complexity, and acceptance of completed tasks rather than a guaranteed hourly salary.