- خبرة
- أي
- مرتب
- USD 29 – USD 29 / hour
- الوظائف الشاغرة
- 1
- تم النشر
- • 3 أفراد
- وضع العمل
- العمل من المنزل
- تعليم
- Bachelor's degree or higher
- الأهلية
- Professionals with language-related experience are encouraged to apply, including writers, teachers, translators, tutors, linguists, and language specialists. Applicants should be fluent in their language and English and meet the education and experience preferences listed.
- سيرة ذاتية
- مطلوب للتقديم
المسمى الوظيفي
Role Overview
This is a remote, part-time contract opportunity for a language-focused professional to support the training and evaluation of AI language models. The work can be done entirely from home and offers a flexible schedule you manage yourself. Candidates with experience in writing, teaching, translation, tutoring, linguistics, or similar language-centered work are especially well suited.
Compensation
The role pays up to $29 USD per hour, with weekly payment.
Key Responsibilities
- Review AI-produced writing and judge it for quality, factual accuracy, and natural fluency.
- Create brief prompts and imaginative responses that help improve AI training.
- Compare multiple AI outputs and score them using defined evaluation standards.
- Share written observations on language quality and overall response performance.
Desired Background
- Strong command of both your language and English.
- Bachelor’s degree or above, ideally in a humanities, language, or writing-focused discipline.
- Professional exposure to language work such as writing, teaching, translation, editing, or annotation.
- Careful attention to detail and comfort following structured assessment guidelines.
- Experience in linguistics, academic writing, data annotation, or AI content review is advantageous.
Work Arrangement
This is a fully remote position with flexible working hours, allowing you to choose your own schedule. It is a part-time contract role that may serve as either primary or supplementary income.
Equal Opportunity
Hiring is based on skills and qualifications. Candidates from all backgrounds are encouraged to apply, and prior employment history does not affect review decisions.