出海雷达

新毕业的人力资源数据管理员

Human Data Manager, New Grad

其他限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司Micro1
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型permanent
发布时间6 天前
数据来源4dayweek.io
前往 4dayweek.io 查看并投递 →
注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

**Job Title:** Human Data Manager, New Grad

**Job Type:** Full-time

**Location:** Remote

**Job Summary:** In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

**Key Responsibilities**

1. Design, build, and manage robust data workflows for accurate annotation, collection, processing, and analysis.
2. Establish and monitor KPIs to optimize operational performance and drive data-driven decision-making.
3. Analyze datasets to uncover actionable insights and present recommendations that accelerate efficiency.
4. Collaborate cross-functionally to align data strategies with overarching business objectives.
5. Develop and maintain comprehensive reporting frameworks tracking key metrics and workflow improvements.
6. Continuously refine processes to ensure scalability, maintain data integrity, and uphold quality standards.
7. Demonstrate ownership and a proactive, hands-on approach to identifying and solving operational challenges.

**Required Skills and Qualifications**

1. Recent Bachelor’s or Master’s graduate in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance or other related fields.
2. Technical aptitude with demonstrated experience in data analysis, annotation, or workflow optimization.
3. Familiarity with operational processes and a passion for increasing efficiency.
4. Ability to interpret and communicate data-driven insights clearly and persuasively, both in writing and verbally.
5. Strong drive to learn, thrive under pressure, and a willingness to work hard in a fast-paced environment.
6. Excellent collaboration skills and attention to detail in managing data quality and validation.

**Preferred Qualifications**

1. Background in engineering or technical fields with operational focus or human data projects.
2. Experience with data visualization tools (such as Excel, Tableau, Power BI) or programming languages (such as Python, SQL).
3. Internship or project-based experience in data management, AI/ML, or process optimization.

**Regional Hiring Notes:**

This role is being hired in parallel across multiple regions due to coverage needs, compliance requirements, and time-zone alignment. Responsibilities and expectations are identical; employment terms vary by region.

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