Project Epsilon - Chinese Quality Control Specialist
- Role
- QA
- Employment
- Part-time20h/week
- Company size
- Enterprise
Open to AU only. Set where you work from to check your eligibility.
No BS summary
Кандидат: носитель/высокий уровень китайского, с опытом контроля качества/ревью данных; требуется степень бакалавра. Удалённая фриланс‑позиция ~20 часов в неделю, долгосрочно; платят $50.4 в час. Работа — проверка аннотаций изображений и коррекция/эскалация спорных случаев.
Core skills
Required skills
Optional skills
Required languages
About the Role We are looking for detail-oriented Quality Control (QC) Specialist to support an AI data annotation project. In this role, you will review the work submitted by Trainers — pre-seeded questions paired with images and their corresponding "golden" answers — to confirm accuracy, consistency, and adherence to project guidelines. This is a task-based, remote-friendly opportunity ideal for individuals who are highly meticulous, observant, and skilled at spotting errors or inconsistencies that others may miss. What You'll Do Review completed tasks submitted by Trainers, including the original question, the image, and the golden answer provided Independently verify whether the golden answer is correct based on the image Identify and flag incorrect, incomplete, ambiguous, or inconsistent answers Provide clear, constructive feedback or corrections to help maintain overall data quality Track recurring error patterns and report them to the project team Ensure Trainer output meets the project's quality bar before final sign-off Escalate unclear cases (e.g., illegible images, ambiguous questions) to the project team for resolution What We're Looking For Native/Strong proficiency at Chinese Bachelor's degree required Excellent attention to detail and a strong quality mindset Good visual observation and reading comprehension skills Ability to apply guidelines/rubrics consistently and objectively Strong written English communication skills, especially for giving feedback Prior experience in quality assurance, quality control, editing, proofreading, data review, data annotation or data labeling is a plus Reliable access to a computer and internet connection Work Format & Compensation Work Type: freelance, remote Hours/Schedule: 20 hours per week Compensation: $50.4/hr Duration: Long-term
What you'll do
- Review completed tasks submitted by Trainers, including the original question, the image, and the golden answer provided
- Independently verify whether the golden answer is correct based on the image
- Identify and flag incorrect, incomplete, ambiguous, or inconsistent answers
- Provide clear, constructive feedback or corrections to help maintain overall data quality
- Track recurring error patterns and report them to the project team
- Ensure Trainer output meets the project's quality bar before final sign-off
- Escalate unclear cases (e.g., illegible images, ambiguous questions) to the project team for resolution
What they require
- Native/Strong proficiency at Chinese
- Bachelor's degree required
- Excellent attention to detail and a strong quality mindset
- Good visual observation and reading comprehension skills
- Ability to apply guidelines/rubrics consistently and objectively
- Strong written English communication skills, especially for giving feedback
- Reliable access to a computer and internet connection
- Preferred: Prior experience in quality assurance, quality control, editing, proofreading, data review, data annotation or data labeling
Benefits
- Limitless Flexibility: Project-based opportunities, fully remote, choose availability
- Optional access to AI and Large Language Model workshops
- Part of a global contributor community with responsive guidance and support
- Opportunity to influence AI systems in the Legal field and expand skills
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
What people say about this company
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