- 경험
- 어느
- 샐러리
- USD 29 – USD 29 / hour
- 채용 공고
- 1
- 게시됨
- 2주 전
- Work mode
- 재택근무
- 교육
- Bachelor's degree
- Eligibility
- Language professionals with relevant hands-on experience in writing, teaching, translating, editing, annotating, or related fields, and who are fluent in both the target language and English, may apply. Candidates with a bachelor’s degree or higher are preferred.
- Resume
- Required to apply
직무 설명
Role Overview
This is a flexible part-time contract opportunity for a language-focused professional who can support the training and assessment of AI language models from home. The work is fully remote and can be carried out on a schedule that suits you.
The position is well suited to people who work with language in a professional capacity, such as writers, teachers, translators, tutors, linguists, editors, annotators, or other language specialists.
Compensation
The pay can go up to $29 USD per hour and is issued weekly.
Key Work
- Review AI-written content and judge it for quality, correctness, and fluency.
- Create brief prompts and imaginative responses that help improve AI model training.
- Compare multiple AI outputs and score them against defined evaluation rules.
- Share written observations on language quality and output performance.
Candidate Profile
- You should be fluent in both your target language and English.
- A bachelor’s degree or higher is preferred, especially in humanities, language, or writing-related studies.
- Prior professional experience in writing, teaching, translation, editing, annotation, or similar language work is expected.
- You need strong attention to detail and the ability to follow assessment instructions carefully.
- Experience in linguistics, academic writing, data annotation, or AI content review is considered an advantage.
Work Conditions
This role is fully remote, offers flexible working hours, and is structured as a part-time contract. It can serve as either a main source of income or an additional earning opportunity.
Equal Opportunity
The employer evaluates applicants based on skills and relevant expertise. Candidates are considered without regard to background, prior experience, or employment history, as long as they meet the required qualifications.