Firebase Specialist for App Workflow Recording

You will create realistic Firebase tasks and record clear workflow demonstrations for AI training. The work focuses on showing how Firebase is used in real web, mobile, backend, administrative, data, and app-development situations.

You will also review project materials and model outputs against project guidelines. Your written feedback should explain your judgments clearly and help improve the quality and behavior of AI systems.

• Create challenging Firebase tasks based on realistic development and administration use cases.
• Prepare test projects, safe sample data, local files, and required tools before recording.
• Record complete, safe, and understandable Firebase workflows.
• Review source materials and model outputs using project rubrics and guidelines.
• Write clear feedback and maintain consistent quality across repeated review tasks.

This is flexible, part-time remote contractor work for someone with hands-on Firebase experience. Prior AI training experience is not required.

• $25 per hour.
• 20+ hours per week for an estimated 1 to 3 months.
• Flexible scheduling.
• Open to candidates in Bangladesh, India, and Pakistan.
• English proficiency at B2 level or higher.
• Hands-on experience with Firebase app setup, authentication, databases, storage, hosting, security rules, deployment, or troubleshooting.
• Strong understanding of Firebase projects, apps, Authentication, Firestore, Realtime Database, Storage, Hosting, security rules, SDK configuration, and deployments.
• Comfort using computers, browsers, developer tools, terminals when needed, project files, and workflow recording tools.
• High attention to detail when preparing tasks, executing workflows, and checking recordings.
• Additional experience in web development, mobile development, backend development, cloud, JavaScript, Flutter, quality assurance, or DevOps is helpful.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training work is the human side of building artificial intelligence. People prepare examples, review AI outputs, and give clear feedback so models can learn from accurate, useful human judgment.