Command-Line Engineering Environment Author

IXO is engaging specialists to evaluate command-line engineering workflows built as reproducible AI evaluation tasks. Your contribution is technical work: make the reasoning inspectable, identify substantive errors and provide evidence that supports a reliable assessment.

Work you will do

• Construct realistic debugging, DevOps or CI/CD challenges using the tools appropriate to the problem.
• Create an environment and golden reference solution for workflows involving utilities such as git, Docker, gdb, asan or ffmpeg.
• Check that the task can be reproduced and assessed reliably, and document the sequence of evidence needed to establish a correct result.

Required background and routes

• Strong skills in a language such as Rust, TypeScript, Go, Java, Python or C++, including algorithms, data structures, debugging and performance optimization.
• Implement maintainable features and refactors, explain findings clearly and work collaboratively on complex software.

Preferred background

• Distributed-codebase work, rigorous code reviews and familiarity with AI/ML systems; AI experience is optional.

Deliverables

Submit the completed technical artifact or assessment with its supporting evidence, explicit assumptions, reproducible checks where applicable, and concise reasons for each material judgment. Address review findings within the agreed scope.

Location and schedule

Remote assignments are scheduled by agreement, with no guaranteed weekly volume. Availability planning can include 15 hours per week depending on the track. IXO confirms the applicable timing before work.

Pay and working terms

Per completed task; fee agreed before work USD. Payment is for a completed task that meets the agreed acceptance criteria. The fee, task specification and revision requirements are agreed before work; an advertised time estimate does not determine payment. Applying does not guarantee an assignment. Use public, licensed or otherwise authorized material only; do not submit confidential employer information, personal data or restricted research.