Technical Data Documentation Writer

As a Technical Data Documentation Writer, you will examine public datasets and JSON-based data, answer analytical questions, and turn your findings into useful business insights. You will create documentation and technical deliverables that are clear, accurate, and easy to follow.

The role combines technical writing, structured data analysis, and practical Python use. You will explain your reasoning in notebooks or other suitable formats, keep methods and assumptions traceable, and work with researchers and stakeholders to improve the final deliverables.

• Write clear, accurate, and well-structured technical documentation.
• Analyze public datasets and JSON data to answer questions and identify business insights.
• Use Python for data exploration and validation when needed.
• Explain analytical reasoning and logic in notebooks or other technical formats.
• Document methods, assumptions, findings, and supporting traceability.
• Organize outputs for clarity, accuracy, and reproducibility.
• Communicate with researchers and stakeholders to refine insights and deliverables.

What it pays and takes

The role is classified as entry level in the listing, but the requirements call for relevant professional experience and strong technical judgment. The assignment is remote and open only to applicants in the listed countries.

• Pay: Not specified in the job details.
• Hours: At least 20 hours per week, with at least four hours per day.
• Schedule: Four hours of overlap with Pacific Time is required.
• Contract: Contractor assignment planned for three months, with the engagement subject to adjustment.
• Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, or Mexico.
• Language: Excellent spoken and written English.
• Experience: At least three years as a technical content writer, analyst, or software developer.
• Technical skills: Dataset interpretation, JSON data, Python for exploration and validation, notebooks or scripting workflows, and strong documentation and code-quality practices.
• Education: Bachelor's or master's degree in engineering or computer science, or equivalent experience.
• Other strengths: Strong analytical judgment, business sense, formatting skills, and the ability to produce clear, accurate, structured content.

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, including data analysis, documentation, and review. People with strong technical or subject knowledge help make those examples accurate, traceable, and useful for building better AI.