Human Data Manager, New Grad

Remolity, Inc.; United States; Remote; USD 60,000 - 90,000; Full time

Job summary

Remolity, Inc. seeks a recent graduate to help train next-generation AI systems by building and maintaining high-quality, real-world data. You will design data workflows for annotation, collection, processing, and analysis, with a focus on accuracy and scalability.

You’ll monitor KPIs, analyze datasets for actionable insights, and present recommendations to improve efficiency. The role emphasizes collaboration, documentation, and a proactive, hands-on approach in a fast-paced environment.

Qualifications

• Recent graduate with a Bachelor's or Master’s in CS, data analytics, industrial engineering, or related fields.
• Demonstrated experience in data analysis, annotation, or workflow optimization.
• Strong interest in improving operational efficiency and data quality.
• Ability to clearly communicate data-driven insights in writing and speech.
• Excellent collaboration and attention to detail in data validation.

Responsibilities

• Design and manage end-to-end data workflows for annotation, collection, processing, and analysis.
• Establish KPIs and monitor performance to drive data-driven decisions.
• Analyze datasets to uncover actionable insights and present recommendations.
• Collaborate cross-functionally to align data strategies with business objectives.
• Develop reporting frameworks tracking key metrics and workflow improvements.
• Continuously refine processes to ensure scalability and data integrity.
• Proactively identify and solve operational challenges.

Skills

Data analysis

Annotation

Workflow optimization

Data storytelling

Collaboration

Education

BSc / MSc in CS or Analytics

Tools

Excel

Tableau

Power BI

Python

SQL

Job description

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.

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.

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.