- 经验
- 任何
- 薪水
- USD 29 – USD 29 / hour
- 职位空缺
- 1
- 发布
- 3小时前
- 工作模式
- 在家办公
- 学历
- Bachelor's degree or higher
- 合格
- Language professionals with strong proficiency in the relevant language and English, including writers, teachers, translators, tutors, linguists, and similar specialists, may apply. Candidates should also meet the education and experience expectations described for the role.
- 恢复
- 需要申请
职位描述
About the role
This is a flexible, part-time contract opportunity for language professionals who want to support the training and assessment of AI language models. The work can be completed entirely from home and is suitable for people who already work with language in a professional capacity, such as writers, teachers, translators, tutors, linguists, or other language specialists.
Location
Remote, with the ability to work from anywhere.
Compensation
The pay can go up to USD 29 per hour, and payments are made weekly.
Key responsibilities
- Review AI-generated writing for accuracy, fluency, and overall quality.
- Create short prompts and imaginative responses that help improve AI training.
- Compare and score AI outputs using defined evaluation standards.
- Share written observations about language quality and related issues.
What the role calls for
- Strong fluency in both your target language and English.
- A bachelor's degree or above, ideally in humanities, languages, or a writing-focused discipline.
- Relevant professional experience in areas such as writing, teaching, translation, editing, annotation, or similar language work.
- Careful attention to detail and the ability to follow evaluation instructions closely.
- Experience in linguistics, academic writing, data annotation, or AI content review is considered an advantage.
Benefits and work style
- Earn up to USD 29 per hour, with weekly pay.
- Work fully remotely from any location.
- Choose your own hours and manage your schedule independently.
- Suitable as either a main income stream or a side source of earnings.
Equal opportunity
Selection is based on skill and expertise. Applicants are considered fairly regardless of background, prior experience, or employment history, and evaluation is based only on qualifications and demonstrated technical ability.