(Recent Graduate) Human Data Manager

micro1; United States; Remote; USD 70,000 - 90,000; Full time

Job summary

A leading AI platform is seeking a Human Data Manager to drive operational excellence. This role involves designing data workflows, optimizing processes, and extracting insights to enhance performance. Recent graduates in relevant fields with strong analytical and communication skills are encouraged to apply. This position offers a remote work environment and a chance for rapid career growth.

Qualifications

• Recent graduate with a background in Computer Science, Data Analytics, or similar.
• Demonstrated experience in data analysis, annotation, or workflow optimization.
• Ability to communicate data insights clearly.

Responsibilities

• Design and manage data workflows for processing and analysis.
• Establish KPIs to optimize performance.
• Analyze datasets and present actionable insights.

Skills

Data analysis

Workflow optimization

Technical communication

Collaboration

Education

Bachelor’s or Master’s in Computer Science or related fields

Tools

Excel

Tableau

Python

SQL

Job description

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Job Title: Human Data Manager

Job Type: Full-time

Location: Remote

About Us

The AI platform for human intelligence—we build models that rigorously vet PhDs and scale human data training for frontier LLMs. Our agent, Zara, autonomously sources and evaluates researchers and data trainers—powering post‑training (RLHF, evals, red‑teaming) for top AI labs. We’re trusted by nearly every major AI lab to deliver the people and processes that keep their models safe, aligned, and performant.

Job Summary

Join our team as a Human Data Manager and drive operational excellence at the intersection of data, technology, and business process optimization. This is a unique opportunity for ambitious recent graduates with a technical mindset and a hunger for rapid career growth, to make a tangible impact from day one.

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.