Freelance Junior Journalist – AI Trainer | Part-Time AI Jobs

Please submit your resume in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

Participation isproject-based, not permanent employment.

What this opportunity involves As an AI Trainer - Junior Journalist, your work will help train AI models, shaping how they understand and generate human-like text.

This isn’t just traditional writing—you’ll be crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity.

Craft original, clear, and fact-checked responses based on project guidelines.

Generate prompts that challenge AI.

Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers.

Follow style and quality standards to ensure consistency.

What we look for This opportunity is a good fit if you are seeking for open to part-time, non-permanent projects.

Bachelor’s degree in Journalism, Communications, Linguistics, Literature, or Education to ensure a strong understanding of grammar and stylistic features; At least 1 year of professional experience in Journalism, Communications, PR, etc., with strong skills in critical thinking and working with text in English language; Strong written English (C1/C2); Stable internet connection.

How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.

This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation On this project, contributors can earn up to $30 per hour equivalent , depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise.

Please note that other projects on the platform may offer different earning levels based on their requirements.