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数据标注

Clinical Data Scientist - AI Trainer

DataAnnotation

Remote · 全职

抢先申请

经验
2年以上
薪水
每小时 50 至 100 美元
职位空缺
1
发布
4 周前
工作模式
在家办公
学历
学士学位
合格
Experienced quantitative professionals who meet the language, skills, and location criteria. Suitable for candidates with backgrounds in data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields. Open only to applicants in the United States…
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职位描述

Role Overview

This opportunity is for experienced quantitative specialists who want to contribute to AI training. The work centers on helping advanced AI systems improve their ability to handle statistical reasoning, data analysis, scientific problem-solving, and model evaluation. You may come from fields such as data science, astrophysics, economics, biostatistics, operations research, or another closely related quantitative discipline.

Some contributors use this role alongside another full-time job, while others make it their main focus.

How the Process Works

After creating an account, you will complete a brief assessment that functions as the screening step. If successful, you will receive confirmation by email and paid assignments will be made available through the platform.

What You Will Do

  • Review AI-produced quantitative outputs and judge them for technical correctness and practical soundness.
  • Create and solve quantitative tasks for training and evaluating AI systems, including work in forecasting, experiment design, optimization, and statistical inference.
  • Produce precise technical write-ups and maintain clear, well-structured analytical code.
  • Share feedback that helps improve the next generation of AI models focused on quantitative reasoning.

Contract Highlights

  • You can decide which projects to accept and when to work on them.
  • The work is flexible and can be done on your own computer from home.
  • Hourly compensation starts at USD 50 to USD 100+ per hour, and some projects may include additional bonus pay.

Qualifications

Applicants should have substantial quantitative experience, strong coding ability, and excellent English writing skills. A bachelor’s degree in a quantitative subject is preferred, while a master’s degree or PhD is an added advantage. Demonstrated accomplishments such as competitive rankings or relevant cloud/ML certifications are beneficial.

Additional Information

Payment is processed through PayPal, and any currency conversion from USD is handled by PayPal. No payment or fee will ever be requested from applicants. This is an independent contractor engagement.

Only candidates based in the United States, Canada, the United Kingdom, Ireland, Australia, or New Zealand will be considered.

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