Contributor Training

A Freelancer’s Checklist Before Starting a Language Data Task

Before accepting a language-data task, contributors should understand the instructions, deadlines, quality criteria, privacy expectations, and support process.

Read the instructions completely Check the task objective, examples, file formats, naming rules, language variety, and what to do when an item is unclear. Do not rely on assumptions where instructions are ambiguous.

Confirm scope and deadlines Understand the expected volume, milestones, submission method, review process, and how questions or blockers should be raised. Confirm the terms of engagement with the project owner.

Protect confidential information Follow the task’s data-handling rules. Do not copy, publish, or share project materials outside approved tools and workflows.

Check your work before submission Use the provided checklist, verify formatting and completeness, and flag uncertain items transparently. Consistent process often prevents avoidable rework.

Ask early when something is unclear A timely question is better than applying an incorrect interpretation across many items. Keep a record of clarifications that affect later work.

Contributor Training

How can Langigs help?

Whether you are planning a language or AI data project or building your professional skills, choose the next step that fits you.