Human Data Manager, New Grad – Remote

RemoteJobsOne; Philadelphia (Philadelphia County); Remote; USD 50,000 - 80,000; Full time

Job summary

RemoteJobsOne is seeking a Human Data Manager, New Grad for a fully remote position, open to candidates across 55 countries. You will design data workflows for annotation, collection, and analysis, and establish KPIs to drive data-driven decisions.

You’ll analyze datasets to uncover insights, collaborate cross-functionally, and help scale data processes while maintaining data integrity and quality. This role welcomes recent graduates in relevant fields and offers a fast-paced, growth-oriented

Qualifications

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

Responsibilities

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

Skills

Data analysis

Data annotation

Workflow optimization

Communication of insights

Data quality & validation

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in CS/Data Analytics/Industrial Engineering/Operations/ Economics

Tools

Excel

Tableau

Power BI

Python

SQL

Job description

Human Data Manager, New Grad – Remote (Worldwide)

• Philadelphia, Pennsylvania, United States

This is a fully remote position, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.

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

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

Required Skills and Qualifications

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

Preferred Qualifications

• Background in engineering or technical fields with operational focus or human data projects.
• Experience with data visualization tools (such as Excel, Tableau, Power BI) or programming languages (such as Python, SQL).
• 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.