**Job Title:**
Software Engineering


**Job Type:**
Contractor (10-12 hours per week)


**Location:**
Remote


**Job Summary**
We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.


No prior AI experience is required. What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.


**Key Responsibilities**

- Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects.
- Review, debug, improve, and explain code across different technical environments.
- Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows.
- Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience.
- Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered.
- Collaborate with the customer’s team on technical reviews, implementation decisions, and problem-solving exercises.
- Adapt quickly to new codebases, frameworks, and technical requirements.

**Required Skills And Qualifications**

- 5+ years of hands-on software engineering experience.
- Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, Node.js, Java, C#, .NET, C++, Go, Ruby, PHP, or similar.
- Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations.
- Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.
- Ability to explain complex engineering decisions clearly and objectively.
- Comfortable reading and reasoning through unfamiliar code or technical requirements

**Preferred Qualifications**

- Experience with cloud environments such as AWS, GCP, or Azure.
- Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations.
- Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native.
- Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work.
- Experience mentoring engineers, reviewing code, or making architecture decisions.