As a Polish Language AI Trainer, you will help improve how AI models understand and produce Polish. You will review model-generated content, create strong reference answers, and compare responses across general knowledge, customer support, education, and conversational writing.
- Review Polish content for accuracy, fluency, grammar, spelling, tone, and cultural fit.
- Find mistranslations, unclear wording, register problems, logical inconsistencies, and failures to follow the prompt.
- Fact-check claims when needed and rewrite text to improve clarity and correctness.
- Create high-quality Polish prompts and reference answers across multiple subject areas.
- Rate and compare AI responses based on correctness and overall quality.
- Flag unsafe, misleading, or biased language and check reliability across different use cases.
What It Pays and Takes
This is remote, part-time contractor work for a Polish language specialist. The role is listed as entry level, but it requires strong Polish language knowledge and professional English writing skills.
- Pay: $30 per hour.
- Time: 20 or more hours per week.
- Location: Poland.
- Languages: Fluent Polish and strong professional English.
- Knowledge: Polish grammar, spelling, punctuation, style, and multiple language registers.
- Experience: Writing, editing, localization, translation, content quality assurance, journalism, education, or similar language-focused work.
- Education: A bachelor's degree in linguistics, Polish or English literature, communications, journalism, translation, or related experience.
- Skills: Careful attention to subtle meaning changes, awkward literal translations, and culturally mismatched phrasing.
- Preferred background: Previous AI data training, translation quality assurance, editorial quality assurance, or rubric-based evaluation.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About OpenTrain and AI Training Work
OpenTrain AI is the hiring and contracting organization for this role. AI training is the human work behind better models, including reviewing responses, writing examples, and rating outputs so systems produce more accurate and useful language.