Human Data Manager, New Grad

Employer description and requirements

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.

Application screening questions

What is your expected hourly rate in USD?

Are you immediately available to start?

Do you have experience with Human-Centered data? (Data Annotation, Labeling, Prompt Engineering, etc.) — this is not mandatory to have

Are you willing to grind big time? (40+ hrs/week)

Can you please share your school and graduation year?

Are authorized to work in your country of residence or currently in a visa program? Please expand

Other published fields (read alongside the description):

Listing location type: remote

Required availability: full-time

Source page's structured applicant-location list: Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia