{"html":"<p>In this hourly, remote contractor role, you will work as a Pandas Specialist (SME) to create realistic, challenging computer-based tasks using Python Pandas and related data-analysis workflows. You will design practical Pandas tasks, document them clearly in SuperAnnotate, ensure your setup supports the task, and record yourself executing the task on your computer.</p>\n<p>Tasks may include loading datasets, cleaning data, filtering rows, grouping and aggregating data, merging datasets, handling missing values, reshaping data, exporting files, creating basic visualizations, or performing practical business/data-analysis workflows. Your work will help train advanced AI models to better understand how real users complete data manipulation and analysis tasks.</p>\n<p>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 Pandas expertise directly helps improve the world’s premier AI models by teaching them how real users complete practical Python data-analysis workflows.</p>\n<h3>Responsibilities</h3><ul><li>Create realistic Pandas tasks: Come up with realistic and challenging tasks that can be executed on the computer using Pandas, then document the task clearly in SuperAnnotate.</li><li>Prepare the work environment: Ensure your setup supports the task, including having Python/Pandas installed or available, datasets prepared, files accessible, and any required references ready before recording.</li><li>Record task execution: Record yourself executing the Pandas task on your computer while following project instructions and ensuring the workflow is clear, complete, and realistic.</li><li>Document task context: Provide enough task context, steps, goals, files, dataset details, and notes so reviewers can understand what the task is and how it was completed.</li><li>Demonstrate practical software use: Complete workflows involving data loading, cleaning, filtering, grouping, merging, reshaping, exporting, or basic analysis where relevant.</li><li>Maintain submission quality: Review your recording and documentation before submission to ensure the task is complete, reproducible, understandable, realistic, and aligned with project guidelines.</li></ul><h3>Requirements</h3><ul><li>Hands-on experience using Pandas for data cleaning, analysis, transformation, reporting, or data-processing workflows.</li><li>English proficiency at B2 level or higher to understand project instructions, document tasks clearly, and communicate with the project team.</li><li>Comfortable using a computer, managing files, running Python scripts or notebooks, installing packages where needed, and recording workflows.</li><li>Ability to come up with realistic and challenging Pandas tasks that reflect actual data analysis, reporting, finance, operations, research, or business use cases.</li><li>Strong understanding of Pandas basics such as DataFrames, Series, indexing, filtering, sorting, grouping, merging, reshaping, missing values, and file input/output.</li><li>Ability to ensure your setup supports the task, including having Python/Pandas available, datasets prepared, files accessible, and any required references ready before recording.</li><li>High attention to detail when preparing the task, executing the workflow, and checking that the recording is complete and understandable.</li><li>Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.</li><li>Additional professional skills are appreciated, including data analysis, Python, statistics, finance, operations, reporting, research, automation, or other computer-based workflows.</li></ul>"}