- 经验
- 任何
- 薪水
- USD 29 – USD 29 / hour
- 职位空缺
- 1
- 发布
- 5 天前
- Work mode
- 在家办公
- 学历
- Bachelor's degree or higher
- Eligibility
- Language professionals who are fluent in both the target language and English, and who have relevant professional experience in writing, teaching, translating, editing, annotating, or related language work can apply. Candidates with backgrounds in linguistics, academic writing, data annotation, or…
- Resume
- Required to apply
职位描述
Role Overview
This is a part-time contract opportunity for a fluent language professional to support the training and assessment of AI language models. The work is fully remote and can be completed on a flexible schedule from anywhere.
Compensation
Pay can reach up to $29 USD per hour, with weekly payments.
Key Work
- Review AI-generated language output for correctness, clarity, and natural flow.
- Create brief prompts and original responses that assist in model training.
- Compare and score multiple AI outputs using defined quality standards.
- Share written observations on language quality and related issues.
Candidate Profile
This role is well suited to professionals who use language in their work, such as writers, teachers, translators, tutors, linguists, editors, annotators, or other language specialists.
Qualifications and Experience
- Strong command of both your target language and English.
- A bachelor’s degree or above, ideally in humanities, language studies, writing, or a related discipline.
- Practical experience in language-focused work such as writing, teaching, translating, editing, annotating, or similar areas.
- Careful attention to detail and the ability to follow evaluation instructions precisely.
- Experience in linguistics, academic writing, data annotation, or AI content review will be considered an added advantage.
Benefits
- Earn up to $29 USD per hour.
- Weekly payout cycle.
- Work remotely from any location.
- Choose hours that suit your availability.
- Part-time structure that can work as a main or additional source of income.
Equal Opportunity
Selection is based on demonstrated ability and qualifications. Candidates are considered fairly regardless of background, prior employment, or experience history.