Remote Full Stack Engineer

OpenTrain AI, Inc.; United States; Remote; USD 83,000 - 138,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a part-time contractor to evaluate and improve AI-generated systems, backend, and infrastructure code in a US-based remote role requiring at least 20 hours per week.

You will review and improve code used to train and benchmark large language models, focusing on systems-level, infrastructure, backend, and performance-critical software. The ideal candidate has deep experience in systems programming, architecture, debugging, and code review, with a track record of

Qualifications

• Strong systems programming, infrastructure, or backend development experience.
• Experience building and deploying scalable production software.
• Deep knowledge of software architecture, development, debugging, and code review.
• Ability to explain technical judgments clearly.
• Based in United States; remote-friendly contractor.

Responsibilities

• Correct and evaluate AI-generated code for quality, performance, scalability, and reliability.
• Assess model capabilities in prototyping, architecture and API design, production implementation, monitoring, and maintenance.
• Build agents and verification methods to find error patterns and assess software solutions automatically.
• Collaborate with others on AI coding solutions measured against industry benchmarks.

Skills

Systems programming

Infrastructure

Backend development

Code review

Performance optimization

Job description

Evaluate and improve AI-generated systems, backend, and infrastructure code in a U.S.-based contract role requiring 20+ hours weekly. The duties focus on systems-software code evaluation, so review them and the qualifications before applying.

Remote

Contract, part-time

Open to applicants in

United States

The work

Create and assess code examples used to train and benchmark large language models. You will work with systems-level, infrastructure, backend, and performance-critical software.

• Correct and evaluate AI-generated code for quality, performance, scalability, and reliability.
• Assess model capabilities in prototyping, architecture and API design, production implementation, monitoring, and operational maintenance.
• Build agents and verification methods to find error patterns and assess software solutions automatically.
• Work with others on AI coding solutions measured against industry performance benchmarks.

What it takes

• Open to candidates based in the United States.
• Fluency in English.
• Commit at least 20 hours per week; the engagement is described as flexible.
• Bring strong systems programming, infrastructure, or backend development experience, including experience building and deploying scalable production software.
• Have deep knowledge of software architecture, development, debugging, and code review, and be able to explain technical judgments clearly.
• Experience building production systems at a high-scale engineering organization and a strong computer science foundation are helpful.
• This is a contractor engagement with an initial one-month duration and possible extensions based on performance and fit.

About AI training work

AI training work uses examples and reviews from people to help improve artificial intelligence systems. In this role, software engineering judgment helps assess code quality and model performance.