Accountants: Ongoing Paid Project for QuickBooks Workflows
Terac
Accountants: Ongoing Paid Project for QuickBooks Workflows
Terac
No-code AI for unstructured data automation
We're running a paid project focused on evaluating and optimizing QuickBooks workflows for accounting professionals. This initiative aims to streamline day-to-day bookkeeping and financial reporting processes. Your hands-on work will directly inform how these workflows operate at scale.
You will join an ongoing, remote initiative that requires a steady commitment of 30 to 40 hours per week. During this time, you will navigate various QuickBooks modules, process transactions, and document workflow efficiency. We will ask you to identify bottlenecks and highlight areas where the software interactions can be improved. Expect to collaborate asynchronously while providing detailed feedback on your daily accounting tasks.
We welcome certified accountants, bookkeepers, and financial controllers with extensive hands-on experience using QuickBooks. You must be comfortable managing complex accounting tasks and able to dedicate the required weekly hours to this project. Professionals who specialize in small business or enterprise accounting workflows are highly encouraged to apply.
Navigate and evaluate standard QuickBooks workflows
Process transactions and manage financial records within the software
Document software bottlenecks and efficiency issues during your shifts
Maintain a steady commitment of 30 to 40 hours per week
Professional experience as an accountant or bookkeeper
Strong, hands-on familiarity with QuickBooks
Ability to commit to 30 to 40 hours per week of remote work
Comfortable providing written feedback on workflow processes
$90 per hour
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com or on YouTube at @jointerac.
Terac provides a no-code AI platform that automates the handling of unstructured data, turning emails and documents into structured, actionable information. Users build, manage, and scale AI-driven automation for tasks like document classification, data extraction, and email processing without needing extensive AI expertise or large training datasets. Compared with traditional AI tools, Terac focuses on a no-code, end-to-end approach for unstructured data, letting teams deploy automations without coding or separate data-extraction components. Its goal is to improve operational efficiency by reducing manual, repetitive work and speeding up information processing across workflows.
Explore more opportunities at Terac