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Recent Bachelor's or Master's graduate in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance, or a related field
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What this posting tells you
Full-time remote Human Data Manager role for a recent graduate. Responsibilities include managing annotation and data workflows, monitoring KPIs, analyzing datasets, reporting insights, and improving operational processes. Hiring is across multiple regions, but the listing does not specify countries, and it provides no compensation details.
Backend, Data, Design and creative, Finance and investments, Operations, Product, Security, Writing and content
Eligible countries are not stated.
Timezone overlap is not stated.
New graduate / entry-level · full_time
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
- Compensation is not listed
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Explore the remote job marketHuman Data Manager, New Grad at micro1
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.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.