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Freelance AI Data Annotator (English)

Mindrift Data Annotation Projects

Remote 兼职

抢先申请

经验
1年以上
薪水
USD 17 / hour
职位空缺
1
发布
4小时前
工作模式
在家办公
学历
学士学位
恢复
需要申请

职位描述

Overview

We invite skilled individuals to join as Freelance Annotators to assist in training and refining artificial intelligence systems. This role involves participating in various generative AI projects, performing tasks such as evaluating content generated by AI, verifying factual accuracy, and comparing responses to enhance AI capabilities.

Key Responsibilities

  • Meticulously review datasets including textual, visual, or video content provided within projects.
  • Tag or categorize content according to specific project instructions.
  • Detect and highlight any factually incorrect, sensitive, inappropriate, or ambiguous materials encountered.

Work Model and Compensation

This position operates on a project-based freelance arrangement, with assignments available only during active projects. Participation in one or multiple projects may be offered based on your profile and ongoing availability. Remuneration varies per project, with earnings reaching up to $17 per hour equivalent on selected projects.

Candidate Requirements

  • A bachelor's degree in any field of study.
  • At least one year of professional work experience in any role.
  • Proficient English language skills at C1 level or above, including written and spoken communication.
  • Strong logical reasoning, fact-verification skills, and analytical thinking.
  • Exceptional attention to detail with the capability to comprehend and execute detailed project guidelines.
  • Effective communication abilities to seek clarifications when necessary.
  • A sincere interest in technology and the field of artificial intelligence.

Benefits and Opportunities

  • Flexible, part-time remote freelance work that complements other professional or educational engagements.
  • Exposure to cutting-edge AI development projects that bolster your professional experience and portfolio.
  • Opportunity to actively shape how emerging AI models interpret and interact within your domain of expertise.

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