- 経験
- どれでも
- 給料
- USD 29 – USD 29 / hour
- 求人情報
- 1
- 投稿済み
- 1週間前
- Work mode
- 在宅勤務
- 教育
- Bachelor's degree or higher
- Eligibility
- Language professionals with fluency in the required language and English, along with relevant writing, teaching, translating, editing, tutoring, linguistics, or annotation experience, are encouraged to apply. A bachelor’s degree or above is preferred, especially in a humanities, language, or writin…
- Resume
- Required to apply
仕事内容
Role Overview
This is a remote, part-time contract opportunity for fluent language professionals who can support the training and review of AI language models from home, on a schedule that suits them. It is especially suitable for people whose work involves language, such as writers, teachers, translators, tutors, linguists, or other language specialists.
Location
Work is fully remote and can be done from anywhere.
Compensation
The pay can go up to USD 29 per hour, with weekly payouts.
Key Work Areas
- Review AI-generated text for fluency, correctness, and overall quality.
- Create brief prompts and imaginative responses to help improve AI training.
- Compare and score multiple AI outputs using defined assessment rules.
- Share written observations about language quality and performance.
Candidate Profile
The employer is looking for someone who is fluent in the target language as well as English, has a bachelor’s degree or above, and has professional exposure to language-related work such as writing, teaching, translating, editing, annotating, or similar tasks. Careful attention to detail and the ability to follow evaluation instructions are important. Experience in linguistics, academic writing, data annotation, or AI content review would be an added advantage.
Terms and Work Setup
This is a flexible part-time contract role with no fixed office location. You decide your own working hours, making it suitable as either a primary or supplementary source of income.
Equal Opportunity
Selection is based on skills and expertise. Applicants from all backgrounds are encouraged, and prior employment history or background will not be used as a deciding factor. Candidates are assessed only on their qualifications and technical ability.