You will design practical PyCharm tasks, document them clearly in SuperAnnotate, ensure your setup supports the task, and record yourself executing the task on your computer.

Tasks may include creating Python projects, configuring interpreters, managing virtual environments, running scripts, debugging code, using the terminal, installing packages, formatting code, refactoring, using Git integration, or working with test files. Your work will help train advanced AI models to better understand how real users complete Python development workflows in an IDE.

Your PyCharm expertise directly helps improve the world’s premier AI models by teaching them how real users complete practical Python coding and debugging tasks.

Why Work with SME Careers?

• Be a part of a forward-thinking team and help us train AI to communicate more effectively.
• Shape the Future of AI

  Your work directly contributes to how AI systems learn and communicate.

• Your Schedule, Your Rules

  Set your own hours and work around your life.

• Weekly Pay

  Receive fast, reliable payments once work is approved.

• Community Rewards

  Get rewarded for referrals with ongoing bonus income.

• Create realistic PyCharm tasks: Come up with realistic and challenging tasks that can be executed on the computer using PyCharm, then document the task clearly in SuperAnnotate.
• Prepare the work environment: Ensure your setup supports the task, including having PyCharm installed, projects/files available, interpreter configured, dependencies installed, and references ready before recording.
• Record task execution: Record yourself executing the PyCharm task on your computer while following project instructions and ensuring the workflow is clear, complete, and realistic.
• Document task context: Provide enough task context, steps, goals, project files, dependencies, and notes so reviewers can understand what the task is and how it was completed.
• Demonstrate practical software use: Complete workflows involving coding, debugging, run configurations, virtual environments, terminal commands, Git integration, package installation, or test execution where relevant.
• Maintain submission quality: Review your recording and documentation before submission to ensure the task is complete, understandable, realistic, and aligned with project guidelines.

• Hands-on experience using PyCharm for Python development, debugging, project setup, package management, refactoring, terminal workflows, or Git integration.
• Comfortable using a computer, managing files, opening projects, configuring interpreters, installing packages, and recording workflows.
• Ability to come up with realistic and challenging PyCharm tasks that reflect actual coding, debugging, scripting, automation, testing, or project-setup use cases.
• Strong understanding of PyCharm basics such as project structure, interpreters, virtual environments, run configurations, debugger, terminal, code navigation, and version control.
• Ability to ensure your setup supports the task, including having PyCharm installed, files/projects available, dependencies installed, and any required references ready before recording.
• High attention to detail when preparing the task, executing the workflow, and checking that the recording is complete and understandable.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Additional professional skills are appreciated, including Python, backend development, data analysis, automation, QA, GitHub, technical writing, or other computer-based workflows.

Required

Work arrangement: Fully remote

Eligible countries: Bangladesh, India, Pakistan