What if your way with words could directly influence how AI communicates with millions of people?
This is a fully remote, flexible contract role open to anyone with strong English writing skills and a sharp eye for quality. No prior AI or tech experience needed — just a genuine command of the English language and a commitment to doing excellent work.
Why Join Us
Work on cutting-edge AI projects alongside leading research labs.
Fully remote and flexible — work when and where it suits you.
Freelance autonomy with the structure of meaningful, task-based work.
Contribute to AI development that directly shapes how technology communicates with the world.
Potential for ongoing work and contract extension as new projects launch.
Responsibilities
Write, edit, and refine English content across a wide range of topics and formats.
Evaluate AI-generated text for clarity, accuracy, tone, and overall quality.
Identify subtle errors, ambiguities, awkward phrasing, and inconsistencies.
Apply detailed style guidelines consistently across varied writing tasks.
Provide structured, actionable feedback using evaluation tools and rubrics.
Work independently and asynchronously on your own schedule.
Required skills
Naturally detail-oriented with a consistent, systematic approach to quality.
Able to evaluate and articulate what makes writing clear, compelling, or flawed.
Self-motivated and reliable when working independently.
Comfortable covering a broad range of topics and writing styles.
Preferred skills
Background in writing, editing, copywriting, journalism, or communications.
Experience with proofreading, content quality assurance, or editorial review.
Familiarity with AI tools or content platforms as an end user.
Experience and education
No prior AI, journalism, or content moderation experience required.
Language requirements
Native or near-native English fluency with strong command of grammar and style.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
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