Backend Repository Evaluation Task Author

ixolabs.ai; France; Hybride; Plein temps

Résumé du poste

IXO Labs is seeking contributors for backend assessment tasks. You will select meaningful bugs or performance problems, create reproducible environments, and implement verifiers to ensure correct behavior across multiple solutions.

Remote assignments are scheduled by agreement, with flexible weekly hours. Payment is per completed task in USD, with fees agreed before work and no guaranteed volume.

Qualifications

• Practical backend engineering in languages with scalable APIs/services, debugging, performance analysis, tests and code-review judgment.

Responsabilités

• Choose realistic bugs, feature requests, refactors or performance problems that require substantial engineering work.
• Build a reproducible environment and a reference solution, then implement deterministic verifiers for the intended behavior.
• Test that valid alternative solutions can pass while incorrect, incomplete or hardcoded shortcuts fail; document the task and its verification logic.

Connaissances

Backend engineering

Code review

Outils

Go

Java

Rust

Node.js

Python

TypeScript

C++

Description du poste

Work you will do

• Choose realistic bugs, feature requests, refactors or performance problems that require substantial engineering work.
• Build a reproducible environment and a reference solution, then implement deterministic verifiers for the intended behavior.
• Test that valid alternative solutions can pass while incorrect, incomplete or hardcoded shortcuts fail; document the task and its verification logic.

Required background and routes

• For backend-environment authorship, practical backend engineering in a language such as Go, Java, Rust, Node.js, Python, TypeScript or C++, with scalable APIs/services, debugging, performance analysis, tests and code-review judgment.

Preferred background

• Security/SecOps, OWASP/CWE, penetration testing or vulnerability-review experience is an advantage rather than a universal requirement.
• For general repository tasks, substantial language depth, algorithms/data structures, large refactors, legacy modernization and feature delivery are preferred. Prior AI work is not required.

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. Security and safety testing stays within the expressly authorized evaluation environment.