Human Data Manager, New Grad – Remote (Worldwide)

RemoteJobsOne; Philadelphia (Philadelphia County); Remote; USD 50,000 - 75,000; Full time

Job summary

RemoteJobsOne seeks a Human Data Manager, New Grad to help train next-generation AI systems by applying domain knowledge to high-quality, real-world input. You will work remotely with a global team to shape data workflows and reporting frameworks for accurate annotation, collection, processing, and analysis.

No prior AI experience is required; your domain knowledge matters as you design data processes, track KPIs, and deliver clear data-driven insights that improve model performance and

Qualifications

• Recent graduate in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance or related field.
• Experience with data analysis, annotation, or workflow optimization.
• Strong communication and collaboration to present data-driven insights.

Responsibilities

• Design, build, and manage data workflows for annotation, collection, processing, and analysis.
• Establish and monitor KPIs to optimize performance and drive decisions.
• Analyze datasets to uncover actionable insights and present recommendations.
• Collaborate cross-functionally to align data strategies with business objectives.
• Develop reporting frameworks tracking key metrics and workflow improvements.
• Refine processes to ensure scalability, data integrity, and quality.
• Demonstrate proactive ownership in solving operational challenges.

Skills

Data analysis

Annotation/workflow optimization

Data quality monitoring

Data-driven storytelling

Collaboration

Education

Bachelor’s or Master’s in CS/Analytics/Engineering

Tools

Excel

Tableau

Power BI

Python

SQL

Job description

Job Title:

Human Data Manager, New Grad

Job Type:

Full-time

Location:

Remote

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 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.