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Human Data Manager, New Grad

Pay not specified

Remote

Role overview

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.

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Sporterer
Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Sporterer Insights · Approximate figures based on World Bank and ILO estimates
Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →