R- Work from
- United States
- Contract
- Full-time
- Posted
- 12 November 2026
- Apply by
- 11 January 2027
In this role, you'll apply your expertise to help train next-generation AI systems.
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.
Job Title: Human Data Manager, New Grad
Job Type: Full-time
Location: Remote
About the role
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.
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.
Requirements
- 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.
Nice to have
- 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.
Eligibility
- This is a fully remote position, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.
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.
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