Software Engineer

RemoteJobsOne; Madrid; A distancia; EUR 61.000 - 122.000; A tiempo parcial

Descripción de la vacante

RemoteJobsOne is seeking a Senior Software Engineer for a fully remote, contractor role (~15 hours/week). You will design and create challenging programming tasks to test AI model capabilities, build reproducible environments, and supply deterministic verifiers and reference solutions.

Candidates based in Spain are welcome. Expertise in at least one major language (Python, Java, C++, TypeScript, Rust, Go) and strong software engineering fundamentals are required.

Formación

• Significant hands-on expertise in at least one of the listed languages (Python3, Java, Rust, Go, C++, TypeScript).
• Strong understanding of algorithms, data structures, and software engineering principles.
• Proven ability to debug complex systems, resolve bugs, and deliver optimizations.
• Experience with large codebases and refactoring to modernize legacy systems.

Responsabilidades

• Design problems and tasks that test software engineering skills and model understanding.
• Create reproducible environments and deterministic verifiers for solutions.
• Provide a reference solution and clear documentation for each task.

Conocimientos

Python3

Java

Rust

Go

C++

TypeScript

Algorithms

Descripción del empleo

This is a fully remote position, open to candidates based in Spain.

Pay: $50–$100/hr

Role Title: Senior Software Engineer

Role Type: Contractor (~15 hrs a week)

Location: Remote

the company is selecting Software Engineers to support a customer’s innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

As an expert you will be creating Reinforcement Learning Environments which test and AI model's ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.

Scope of Work

• On this project, you will create realistic, interesting, and extremely challenging coding tasks for frontier AI models using your favourite repositories!
• You will design problems that require strong software engineering skills, such as tracking down subtle bugs, building non-trivial features, or improving performance.
• For each task, you will define the problem, build a reproducible environment, and write deterministic verifiers that accept correct solutions across different valid implementations while rejecting incorrect, incomplete, or hard-coded approaches. You will also provide a reference solution showing how the task can be solved.

Preferred Qualifications

• Significant hands‑on expertise in at least one of the following: Python3, Java, Rust, Go, C++, or TypeScript.
• Deep understanding of algorithms, data structures, and software engineering principles.
• Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
• Experience with large codebase refactoring and legacy system modernization.
• Track record of delivering high-impact features from conception through delivery within cross-functional projects.
• Strong documentation and communication skills to articulate technical concepts clearly.
• Interest in or curiosity about AI and its technical challenges (previous AI experience not required).

Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.