Human Data Manager, New Grad

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.