Jupyter Notebook Specialist for Python Data Tasks Remote Contract
Overview
A remote, contract-based role focused on crafting realistic Jupyter Notebook tasks in Jupyter Notebook or JupyterLab. You will document tasks in SuperAnnotate, set up the computing environment, and record practical demonstrations of notebook workflows. This work supports AI model training by illustrating real-world data analysis and coding patterns. Strong English communication and precise, reproducible task documentation are key. You will demonstrate workflows that involve Python cells, data cleaning, and visualization within notebook environments.
What You'll Do6
- 1Design realistic Jupyter Notebook tasks that can be executed in Jupyter Notebook or JupyterLab and document them clearly in SuperAnnotate.
- 2Set up a reliable work environment with the necessary datasets, packages, and notebook files before recording tasks.
- 3Record yourself performing the notebook tasks, ensuring the workflow is complete, reproducible, and easy to follow.
- 4Provide comprehensive task context, including goals, files, datasets, steps, and notes so reviewers understand how the task was completed.
- 5Demonstrate practical software use by executing Python cells, performing data cleaning with pandas, creating charts, and exporting notebook outputs.
- 6Review and polish submissions to ensure quality, completeness, and alignment with project guidelines.
Requirements9
- 1Hands-on experience using Jupyter Notebook or JupyterLab for Python-based data analysis, visualization, or documentation workflows
- 2English proficiency at B2 level or higher for clear task understanding and communication
- 3Comfort with computer-based tasks, file management, notebook execution, package installation, and browser/local environments
- 4Ability to design realistic notebook tasks reflecting actual data analysis, education, or research use cases
- 5Strong knowledge of notebook fundamentals: code and markdown cells, execution order, kernels, file paths, imports, and basic plotting with pandas and charts
- 6Proactive setup readiness: having Jupyter available, datasets prepared, packages installed, and references ready before recording
- 7High attention to detail in task preparation, execution, and recording clarity
- 8Reliable, self-directed contractor capable of delivering consistent quality across remote time zones
- 9Additional skills in Python, data analysis, statistics, or machine learning are valued
Who Should Apply
Ideal candidates are detail-oriented individuals with hands-on Jupyter experience and strong English communication. This role suits those who enjoy building realistic notebook tasks and documenting workflows clearly for review. It may be less suitable for candidates without practical notebook experience, or who struggle with self-directed, remote collaboration across time zones. Applicants who cannot demonstrate clear, reproducible notebook demonstrations or cannot prepare datasets and references ahead of time may score lower. The fit sharpens for those who can pair technical notebook work with thorough written context and recording quality.
Salary Insight
$20/hr. Pay is discussed as part of the engagement and is aligned with remote, hourly contractor work.
Location
Required Skills
Application Tip
Show a concrete sample: include a brief, self-contained notebook task outline with code cells, a short data-cleaning step, and a sample visualization using pandas and matplotlib to demonstrate readiness.
See NearSkill jobs more often in your search
How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
Similar open positions
Explore active roles that match your skills and interests.
SME Careers
VerifiedPandas Specialist for Data Cleaning and Analytics
Remote hourly contract role as a Pandas Specialist (SME) focused on building realistic computer-based data tasks using the Python data-analysis stack for practical data analysis. You will design practical tasks and document them clearly in SuperAnnotate and ensure your workspace has Python and Pandas ready before recording, typically through a Jupyter Notebook workflow. Then you record yourself executing the task on your computer to show a complete, reproducible workflow. Tasks may involve loading datasets, cleaning data, filtering rows, performing groupby operations, merging datasets, handling missing values, reshaping data, and exporting outputs. Your work helps train advanced AI models by demonstrating real-world data-manipulation tasks.
SME Careers
VerifiedPyCharm Specialist for Python Tasks Remote Contract
As a PyCharm Specialist, you design realistic Python development tasks that are executed within the PyCharm IDE. You document each task in SuperAnnotate, detailing goals, files, dependencies, and expected outcomes. Your work includes configuring interpreters and virtual environments, running scripts, and capturing debugging steps in a reproducible workflow. This remote, hourly contractor role helps SME Careers train AI models on real-world Python workflows.
SME Careers
VerifiedVS Code Specialist for Remote Contract Tasks Engagement
As a remote VS Code specialist, you design practical, editor-based tasks that demonstrate real coding, editing, and debugging workflows. You set up the necessary environment, install extensions, and prepare references so reviewers can replay the steps. You record task execution while editing, running commands in the terminal, and manage changes with Git inside the editor, then document outcomes in SuperAnnotate. This hourly contract helps train AI models to understand how developers complete practical editor tasks.
SME Careers
VerifiedNetBeans Java Specialist for Task Design and Recording
Remote contract role focused on designing realistic NetBeans-based Java tasks for AI model training. You will craft concrete project scenarios, configure the JDK, and manage dependencies with Maven or Gradle inside the IDE. Deliverables include a well-written task description and a concise execution recording in SuperAnnotate. This role requires accuracy and self-direction to produce repeatable, reviewable workflows across time zones.
SME Careers
VerifiedGitHub Specialist for Repositories and Workflows Remote Contract
Remote GitHub Specialist role building realistic, executable tasks that demonstrate real-world version-control workflows. You design challenges around repositories, branches, commits, pull requests, issues, and README updates, then document outcomes in SuperAnnotate. Setup must include GitHub access, a test repository, and any references before recording your demonstration. Your screen recordings and task write-ups help train AI models to understand how developers collaborate and complete practical version-control tasks.
SME Careers
VerifiedVim Specialist for Remote Text Editing Tasks Contract
As a Vim specialist, you’ll craft realistic, keyboard-driven tasks that exercise editing, navigation, and terminal workflows. You will document every task setup and instructions in SuperAnnotate, and verify your local environment before recording. Your demonstrations cover file editing, moving through buffers, using modes, applying substitutions, and managing plugins. This remote hourly contract supports SME Careers by shaping training data that teaches AI models how developers approach real-world text editing and terminal work.