Bash Team Lead

AI Trainer Jobs; United States; Remote; USD 54,000 - 90,000; Full time

Job summary

SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, seeks a Bash Quality Assurance Lead for a remote, hourly contractor role. You will review AI-generated Bash scripts, assess quality, provide precise feedback, and ensure adherence to client guidelines.

Responsibilities include quality monitoring, code review, onboarding support, safety reviews, documentation, and process improvement.

Qualifications

• Bash/shell scripting experience: 3+ years with Linux/Unix systems and automation workflows.
• Strong ability to follow guidelines and provide precise technical feedback.
• Experience leading or supporting remote teams of trainers, reviewers, engineers, or QAs is preferred.
• Familiarity with Discord, Google Docs, trackers, dashboards, and GitHub is expected.

Responsibilities

• Quality monitoring: spot-check Bash items, identify issues, and escalate as needed.
• Code review: evaluate AI-generated shell scripts and CLI workflows for correctness and safety.
• Trainer/QA communication: update contributors on new guidelines and review expectations.
• Question handling: respond to questions about portability, quoting, and rubric interpretation.
• Activation management: re-engage inactive contributors and track availability.
• Documentation: create and maintain Bash style guides, FAQs, and onboarding materials.
• Onboarding: run training calls explaining workflows and safety expectations.
• Safety review: flag unsafe scripts and potential credential exposure.
• Process improvement: identify gaps and build scalable QA processes.

Skills

Shell Scripting

Bash

Automation

Code review

AI Training

Linux

CLI tools

Debugging

LLM evaluation

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

grep

awk

sed

find

xargs

curl

jq

cron

SSH

Git

Docker

CI/CD

Package managers

Job description

Pay: up to $65/hour

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.

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.

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.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Important:

There 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.

Responsibilities

• Quality monitoring: Spot-check Bash items, identify quality issues, provide feedback through DMs, and elevate recurring or critical issues.
• Code review: Evaluate AI-generated shell scripts, CLI workflows, automation snippets, debugging responses, and explanations for correctness and safety.
• Trainer/QA communication: Update contributors on Discord about new guidelines, workflow changes, and Bash-specific review expectations.
• Question handling: Respond to questions around quoting, portability, Linux commands, destructive operations, permissions, pipelines, and rubric interpretation.
• Activation management: DM inactive contributors, encourage activation, track follow-ups, and flag availability issues.
• Documentation: Create and maintain Bash style guides, trackers, FAQs, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding: Run onboarding/training calls explaining workflows, rubrics, safety expectations, and Bash-specific review rules.
• Safety review: Flag unsafe scripts, destructive commands, credential exposure, injection risks, or misleading production guidance.
• Process improvement: Identify recurring gaps and build scalable QA processes.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, Systems Administration, or equivalent professional experience.
• Strong grasp of English to follow guidelines and provide clear technical feedback.
• 3+ years of experience with Bash/shell scripting, Linux/Unix systems, automation, DevOps, systems administration, CI/CD, or technical support workflows.
• Strong understanding of Bash fundamentals: variables, quoting, conditionals, loops, functions, pipes, redirection, exit codes, signals, process management, file permissions, and POSIX portability.
• Ability to identify issues such as unsafe commands, poor quoting, non-portable syntax, missing error handling, incorrect assumptions, hallucinated flags, and destructive operations.
• 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.
• Experience leading or supporting remote teams of trainers, reviewers, engineers, or QAs is strongly preferred.
• Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and PM systems.
• Highly detail-oriented and organized; able to maintain style guides, FAQs, trackers, honeypots, calibration tasks, and onboarding materials.
• Experience with AI training, data annotation, LLM evaluation, code QA, or rubric-based review is a strong plus.

Skills: Shell Scripting, Bash, Trainer Feedback, Automation, Code review, AI Training, Linux, CLI tools, Debugging, LLM evaluation

Open to candidates in: The United States

Interview language: English