In this hourly, remote contractor role, you will work as a PyCharm Specialist (SME) to create realistic, challenging computer-based tasks using PyCharm and related Python development workflows. You will design practical PyCharm tasks, document them clearly in SuperAnnotate, ensure your setup supports the task, and reco
About the role
In this hourly, remote contractor role, you will work as a PyCharm Specialist (SME) to create realistic, challenging computer-based tasks using PyCharm and related Python development workflows. 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.
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 PyCharm expertise directly helps improve the world’s premier AI models by teaching them how real users complete practical Python coding and debugging tasks.
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. …
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