The work
You will lead quality review for Bulgarian AI training projects. Your work will include checking AI-generated content and trainer or QA work, applying project guidelines, and giving clear written feedback.
You will also help contributors meet standards for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning, instruction-following, and formatting. The role includes supporting onboarding, maintaining quality materials, and identifying recurring issues.
- Review Bulgarian content and trainer or QA work for quality, consistency, and guideline adherence.
- Give written feedback on accuracy, fluency, grammar, spelling, tone, and cultural fit.
- Answer questions about Bulgarian wording, translation fidelity, terminology, and difficult cases.
- Share workflow updates and quality expectations with trainers and QAs.
- Maintain style guides, trackers, FAQs, examples, honeypots, and onboarding materials.
- Help run onboarding and training calls for trainers and QAs.
- Identify recurring quality gaps and suggest workflow improvements.
What it pays and takes
This is a remote, part-time contractor role for candidates in Bulgaria. The role requires at least 20 hours per week and strong Bulgarian and English skills.
- Pay: $25 per hour.
- Workload: 20+ hours per week.
- Location: Open to candidates in Bulgaria.
- Languages: Fluent Bulgarian and English, with strong reading and writing ability.
- Experience: Bulgarian writing, editing, translation, localization, content QA, AI training, or related language review work.
- Language knowledge: Bulgarian grammar, spelling, punctuation, Cyrillic script, tone, register, word order, aspect, definiteness, and cultural context.
- Tools: Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
- Preferred: Experience leading or supporting remote teams.
- Level: Expert.
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 generate and understand language. Reviewers assess examples, explain what needs to improve, and help models produce more accurate and useful results, while experienced language specialists bring the judgment needed for careful quality review.