Data Analyst（远程职位）

这条招聘信息来自 micro1，岗位是 Data Analyst。职位属于「数据与分析」类别，完全远程。公司不限制候选人的居住地，在任何地方都可以申请。

公司公布了薪酬：$31 - $60/小时。对工作时间，招聘信息没有提出任何条件。

这个职位通过了自动核查：凡是要求外国工作许可、签证担保、特定国籍，或者必须居住在指定国家的招聘信息，都不会进入列表。

Role Title: Data Analyst Role Type: Contractor Location: Remote micro1 is engaging Data Analysts to contribute to a high-impact customer project focused on business data. 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. This opportunity is ideal for experienced professionals who can expertly review, analyze, and ensure the privacy of large-scale data sets, with a particular emphasis on business data and quality assurance. Scope of Work

* Review and analyze extensive business data sets for accuracy, completeness, and relevance.

* Conduct thorough document review with strict adherence to data privacy and PII protocols.

* Identify, flag, and resolve data quality issues, inconsistencies, and anomalies.

* Deliver detailed feedback and recommendations on data findings to inform AI training processes.

* Contribute to the development and refinement of quality assurance standards for data review assignments.

* Collaborate with project stakeholders through clear, professional written and verbal communication.

* Ensure compliance with all established data privacy and security guidelines throughout project deliverables.

Preferred Qualifications

* Demonstrated expertise in handling and analyzing large business data sets.

* Proven experience managing data containing personally identifiable information (PII) and sensitive material.

* Strong understanding of data privacy regulations and best practices.

* Background in document review, data quality assurance, or audit projects.

* Exceptional written and verbal communication skills; ability to convey complex findings clearly and concisely.

* High attention to detail and commitment to data accuracy and integrity.

* Experience working remotely and delivering consistent, reliable output in a distributed project environment.

Originally posted on Himalayas