The work
You will create realistic computer-based tasks that show how people use Jupyter Notebook or JupyterLab for coding and data analysis. You will prepare the working environment, record reproducible workflows, document the task, and review the result for quality.
- 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.
- Execute and record Python cells, markdown explanations, 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 an entry-level, part-time contractor opportunity for people with hands-on notebook experience. The work is remote and contributors may work across time zones.
- Pay: $20 per hour.
- Schedule: 20 or more hours per week.
- Location: Open to candidates in Bangladesh, India, and Pakistan.
- Language: English proficiency at B2 level or higher for instructions, task documentation, and clear communication.
- Experience: Hands-on use of Jupyter Notebook or JupyterLab for Python, data analysis, visualization, teaching, research, automation, or documentation.
- Notebook skills: Understand code cells, markdown cells, execution order, kernels, imports, file paths, pandas, charts, outputs, and exports.
- Workflow skills: Create realistic notebook tasks, explain goals and assumptions, manage files, install packages, and work in browser or local environments.
- Work style: High attention to detail, reliable self-direction, and consistent quality in remote work.
- Helpful background includes 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 modern AI systems, including preparing examples, reviewing outputs, and recording or evaluating computer workflows. OpenTrain is a free platform where people find AI training and data-labeling projects, build a profile, and apply in minutes.