SWE-Bench AI Task Auditor - Freelance AI Trainer Project

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a SWE-Bench AI Task Auditor - Freelance AI Trainer Project based in Saudi Arabia. This freelance opportunity is designed for experienced software engineers who want to contribute their technical expertise to the development and evaluation of AI systems. You will review software engineering tasks used to train and assess advanced AI models. Your work will focus on ensuring tasks are technically accurate, realistic, reproducible, and appropriately tested. You will investigate codebase integrations, test failures, logic issues, and other technical challenges. The role offers flexibility through a fully remote, project-based working model. You will apply practical software engineering judgment rather than simply following predefined checks. Your feedback will directly help improve the quality and reliability of AI training workflows. Accountabilities • Evaluate software engineering tasks for technical accuracy, realism, solvability, reproducibility, and alignment with SWE-Bench standards. • Review task codebases, integrations, tests, and evaluation criteria to identify potential technical weaknesses. • Rigorously test and troubleshoot complex technical scenarios to determine whether tasks function as intended. • Investigate codebase integration problems, test failures, logic errors, and other implementation issues. • Provide clear, precise, and actionable feedback that enables task creators to correct identified problems. • Apply professional software engineering judgment to assess whether tasks reflect realistic development scenarios. • Help maintain a high standard of technical rigor and accuracy across AI training and evaluation workflows. Requirements • Demonstrable professional experience in software engineering, including experience navigating complex codebases and developing real-world applications. • Strong knowledge of software engineering principles and familiarity with SWE-Bench-style tasks and evaluation workflows. • Strong analytical and problem-solving abilities, with the capacity to investigate complex technical scenarios systematically. • Experience troubleshooting code, diagnosing test failures, and identifying underlying logic or integration issues. • Ability to evaluate technical work objectively and communicate findings clearly and constructively. • Strong attention to detail and a rigorous approach to technical validation. • Ability to work independently and manage project-based assignments effectively. • Deep expertise in one relevant software engineering specialty is sufficient; expertise across multiple domains is not required. • A secure computer and reliable, high-speed internet connection suitable for remote technical work. Benefits • Fully remote freelance contract. • Flexible project-based working environment. • Opportunity to contribute directly to the training and evaluation of AI systems. • Ability to apply real-world software engineering expertise to challenging technical tasks. • Compensation of $60/hour, with the final rate determined based on experience, expertise, and geographic location. • No company-sponsored health insurance, PTO, or other employee benefits, as this is a freelance contractor position. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Show more Show less

Demonstrable professional experience in software engineering, including experience navigating complex codebases and developing real-world applications. Strong knowledge of software engineering principles and familiarity with SWE-Bench-style tasks and evaluation workflows. Strong analytical and problem-solving abilities, with the capacity to investigate complex technical scenarios systematically. Experience troubleshooting code, diagnosing test failures, and identifying underlying logic or integration issues. Ability to evaluate technical work objectively and communicate findings clearly and constructively. Strong attention to detail and a rigorous approach to technical validation. Ability to work independently and manage project-based assignments effectively. Deep expertise in one relevant software engineering specialty is sufficient; expertise across multiple domains is not required. A secure computer and reliable, high-speed internet connection suitable for remote technical work.

Evaluate software engineering tasks for technical accuracy, realism, solvability, reproducibility, and alignment with SWE-Bench standards. Review task codebases, integrations, tests, and evaluation criteria to identify potential technical weaknesses. Rigorously test and troubleshoot complex technical scenarios to determine whether tasks function as intended. Investigate codebase integration problems, test failures, logic errors, and other implementation issues. Provide clear, precise, and actionable feedback that enables task creators to correct identified problems. Apply professional software engineering judgment to assess whether tasks reflect realistic development scenarios. Help maintain a high standard of technical rigor and accuracy across AI training and evaluation workflows.