You will create realistic computer-based tasks that show how people use Jupyter Notebook or JupyterLab for coding and data analysis. Your work will combine Python, pandas, data preparation, charts, notebook documentation, and careful quality review.
- Create practical notebook tasks for data analysis, coding, education, research, reporting, or technical documentation.
- Prepare notebooks, files, datasets, packages, references, and local or browser-based environments before recording.
- Record workflows using Python cells, markdown, data cleaning, exploratory analysis, charts, debugging, imports, file handling, outputs, and exports.
- Document task goals, steps, files, dataset details, context, assumptions, and notes so another reviewer can understand the workflow.
- Review recordings and documentation for completeness, clarity, reproducibility, realism, and alignment with project guidelines.
What It Pays and Takes
This is a remote, part-time contractor opportunity for people who can work independently and communicate clearly in English. The structured experience level is entry level, but you need hands-on notebook experience and the technical skills below.
- Pay: $20 per hour.
- Time: 20 or more hours per week.
- Location: Bangladesh, India, or Pakistan; contributors may work across time zones.
- Language: English at B2 level or higher for understanding instructions, documenting tasks, and communicating clearly.
- Experience: Hands-on use of Jupyter Notebook or JupyterLab for Python, data analysis, visualization, teaching, research, automation, or documentation.
- Technical skills: Understand code and markdown cells, execution order, kernels, imports, file paths, pandas, charts, outputs, and exports.
- Work habits: Create realistic tasks, explain goals and assumptions clearly, manage files, install packages, use local or browser environments, record workflows, and maintain consistent quality.
- Helpful background: Python, data analysis, machine learning, statistics, research, teaching, coding, reporting, or related computer-based workflows.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training is the human work behind systems that learn from examples. Contributors create, record, review, and explain useful examples so AI models can better handle real tasks, and people with relevant technical experience are paid for the quality of that work.
