Human Data Manager, New Grad

Micro1; India; Remote; INR 900,000 - 1,800,000; Full time

Job summary

Cashback24x7 is seeking a Human Data Manager to train AI systems through high-quality data. You will design data workflows for annotation, collection, processing, and analysis to improve model learning.

You will monitor KPIs, analyze datasets, present actionable recommendations, and collaborate with cross-functional teams to align data strategies with business objectives. Strong communication and detail orientation are essential.

Qualifications

• Recent Bachelor’s or Master’s graduate in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance or related fields.
• Technical aptitude with 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, in writing and verbally.
• Strong drive to learn, thrive under pressure in a fast-paced environment.
• Excellent collaboration and attention to detail in data quality and validation.

Responsibilities

• Design, build, and manage robust data workflows for annotation, collection, processing, and analysis.
• Establish and monitor KPIs to optimize performance and drive data-driven decisions.
• Analyze datasets to uncover insights and present recommendations to accelerate efficiency.
• Collaborate cross-functionally to align data strategies with business objectives.
• Develop and maintain reporting frameworks tracking key metrics and workflow improvements.
• Continuously refine processes to ensure scalability, data integrity, and quality.

Skills

Data analysis

Data annotation

Workflow optimization

Operational processes

Communication of insights

Education

Bachelor's/Master's in CS/Data Analytics/IE/Operations/Economics/Finance

Tools

Excel

Tableau

Power BI

Python

SQL

Job description

Job Title: Human Data Manager

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.