Human Data Manager, New Grad – Remote (Worldwide)

IMPORTANT: after you apply, please check your email. We sendyou a link to complete your application — it is not considered until that laststep is done. If you do not see it, check your spam folder.
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.
How to apply
Apply here with your profile. We will then email you a link to complete yourapplication on the hiring platform — your application is only considered oncethat final step is done.
Originally posted on Himalayas