Skip to content
AI Trainer Jobs
Companies

Human Data Manager, New Grad

micro1 · 100% remote · Full-time · Posted

Pay
Not listed
Location
Worldwide
Languages
English
Hours
Full-time
Opening
1
Level
Entry level

Summary

Design and manage data workflows for AI training, including annotation, collection, processing, and analysis. Monitor KPIs, analyze datasets, and collaborate cross-functionally to optimize operational performance.

What you'll do

  • Design, build, and manage data workflows for annotation, collection, processing, and analysis
  • Establish and monitor KPIs to optimize operational performance
  • Analyze datasets to uncover actionable insights and present recommendations
  • Collaborate cross-functionally to align data strategies with business objectives
  • Develop and maintain reporting frameworks tracking key metrics and workflow improvements
  • Refine processes to ensure scalability, maintain data integrity, and uphold quality standards
  • Demonstrate ownership and a proactive, hands-on approach to solving operational challenges

Requirements

  • Recent Bachelor's or Master's degree in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance, or 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, both in writing and verbally
  • Strong drive to learn, thrive under pressure, and work hard in a fast-paced environment
  • Excellent collaboration skills and attention to detail in managing data quality and validation

Skills

  • Project Management
  • Data Operations
  • Quality Analyst
  • Human Data

Full description

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

  1. Design, build, and manage robust data workflows for accurate annotation, collection, processing, and analysis.
  2. Establish and monitor KPIs to optimize operational performance and drive data-driven decision-making.
  3. Analyze datasets to uncover actionable insights and present recommendations that accelerate efficiency.
  4. Collaborate cross-functionally to align data strategies with overarching business objectives.
  5. Develop and maintain comprehensive reporting frameworks tracking key metrics and workflow improvements.
  6. Continuously refine processes to ensure scalability, maintain data integrity, and uphold quality standards.
  7. Demonstrate ownership and a proactive, hands-on approach to identifying and solving operational challenges.


Required Skills and Qualifications

  1. Recent Bachelor’s or Master’s graduate in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance or other related fields.
  2. Technical aptitude with demonstrated experience in data analysis, annotation, or workflow optimization.
  3. Familiarity with operational processes and a passion for increasing efficiency.
  4. Ability to interpret and communicate data-driven insights clearly and persuasively, both in writing and verbally.
  5. Strong drive to learn, thrive under pressure, and a willingness to work hard in a fast-paced environment.
  6. Excellent collaboration skills and attention to detail in managing data quality and validation.


Preferred Qualifications

  1. Background in engineering or technical fields with operational focus or human data projects.
  2. Experience with data visualization tools (such as Excel, Tableau, Power BI) or programming languages (such as Python, SQL).
  3. 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.

Similar jobs

View all jobs