{"html":"<p>In this hourly, remote contractor role, you will work as a Bash Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Bash/shell scripting AI training projects. You will review AI-generated Bash code and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that contributors follow expected quality standards.</p>\n<p>You will assess work for script correctness, command safety, portability, debugging accuracy, error handling, security awareness, readability, maintainability, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently.</p>\n<p>This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Bash quality leadership will directly help improve the world’s premier AI models by ensuring that shell-scripting training data is accurate, executable, safe, clearly explained, and aligned with client expectations.</p>\n<p>Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.</p>\n<p>Important:\nThere is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.</p>\n<h3>Responsibilities</h3><ul><li>Quality monitoring: Spot-check Bash items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues.</li><li>Code review: Evaluate AI-generated shell scripts, CLI workflows, automation snippets, debugging responses, and explanations for correctness and safety.</li><li>Trainer/QA communication: Update contributors on Discord about new guidelines, workflow changes, and Bash-specific review expectations.</li><li>Question handling: Respond to questions around quoting, portability, Linux commands, destructive operations, permissions, pipelines, and rubric interpretation.</li><li>Activation management: DM inactive contributors, encourage activation, track follow-ups, and flag availability issues.</li><li>Documentation: Create and maintain Bash style guides, trackers, FAQs, examples, honeypots, calibration tasks, and onboarding materials.</li><li>Onboarding: Run onboarding/training calls explaining workflows, rubrics, safety expectations, and Bash-specific review rules.</li><li>Safety review: Flag unsafe scripts, destructive commands, credential exposure, injection risks, or misleading production guidance.</li><li>Process improvement: Identify recurring gaps and build scalable QA processes.</li></ul><h3>Requirements</h3><ul><li>Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, Systems Administration, or equivalent professional experience.</li><li>Strong grasp of English to follow guidelines and provide clear technical feedback.</li><li>3+ years of experience with Bash/shell scripting, Linux/Unix systems, automation, DevOps, systems administration, CI/CD, or technical support workflows.</li><li>Strong understanding of Bash fundamentals: variables, quoting, conditionals, loops, functions, pipes, redirection, exit codes, signals, process management, file permissions, and POSIX portability.</li><li>Ability to identify issues such as unsafe commands, poor quoting, non-portable syntax, missing error handling, incorrect assumptions, hallucinated flags, and destructive operations.</li><li>Familiarity with tools such as grep, awk, sed, find, xargs, curl, jq, cron, SSH, Git, Docker, CI/CD pipelines, and Linux package managers is preferred.</li><li>Experience leading or supporting remote teams of trainers, reviewers, engineers, or QAs is strongly preferred.</li><li>Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and PM systems.</li><li>Highly detail-oriented and organized; able to maintain style guides, FAQs, trackers, honeypots, calibration tasks, and onboarding materials.</li><li>Experience with AI training, data annotation, LLM evaluation, code QA, or rubric-based review is a strong plus.</li></ul>"}