Pandas Specialist

$20/year

82 people hired

RemoteGlobalTechnology3-5 YearsContractPosted Aug 31, 2026

About this role

SME Careers is hiring Pandas Specialists to create realistic and challenging Python-based data-analysis tasks that help train advanced AI models. The role involves designing practical Pandas workflows, preparing datasets and the required Python environment, documenting tasks clearly in SuperAnnotate, and recording complete task execution on your computer. Typical workflows may include data loading, cleaning, filtering, grouping, aggregation, merging, reshaping, missing-value handling, exports, basic visualizations, and business-oriented analysis. This opportunity is ideal for professionals with hands-on Pandas experience, strong data-manipulation skills, and the ability to create reproducible real-world analytical workflows.

Responsibilities

Create realistic and challenging Pandas tasks covering data loading, cleaning, filtering, grouping, merging, reshaping, exporting, and analysis.
Prepare Python/Pandas, datasets, files, packages, notebooks or scripts, and required references before recording each workflow.
Record complete task execution while ensuring the workflow is clear, realistic, reproducible, and aligned with project instructions.
Document task goals, dataset context, files, steps, assumptions, and relevant notes clearly in SuperAnnotate.
Review recordings and documentation before submission to ensure completeness, correctness, reproducibility, clarity, and consistent quality.

Qualifications

Hands-on experience using Pandas for data cleaning, transformation, analysis, reporting, or data-processing workflows.
English proficiency at B2 level or higher with the ability to understand project instructions and document analytical tasks clearly.
Strong understanding of DataFrames, Series, indexing, filtering, sorting, grouping, merging, reshaping, missing values, and file input/output.
Comfortable running Python scripts or notebooks, managing datasets and files, installing packages when needed, and recording computer-based workflows.
Reliable, self-directed, detail-oriented, and capable of designing realistic Pandas tasks that reflect data analysis, reporting, finance, operations, research, or business use cases.