Recent Graduate Human Data Manager

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Job Title: Human Data Manager

Job Type: Full-time

Location: Remote

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.

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.

• 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.

• 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.

• 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.