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Human Data Manager – Remote (Worldwide)

RemoteRemoteFull TimeManager / Head$40–$60 /hrPosted 17 hours agoHidden Gem · Himalayas

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Required skills

  • technical aptitude
  • data analysis
  • annotation
  • workflow optimization
  • operational processes
  • efficiency
  • data-driven insights
  • data quality
  • validation

Nice to have

  • technical fields
  • operational focus
  • human data projects
  • data visualization
  • AI/ML
  • process optimization

Role summary

This fully remote role is for a Human Data Manager to train next-generation AI systems by providing high-quality, real-world input. No prior AI experience is needed, but domain knowledge is crucial. Responsibilities include designing and managing data workflows for annotation, collection, processing, and analysis, establishing KPIs, analyzing datasets for insights, and refining processes for scalability and data integrity. The role requires technical aptitude in data analysis and workflow optimization, strong communication skills, and attention to detail.

IMPORTANT: after you apply, please check your email. We sendyou a link to complete your application — it is not considered until that laststep is done. If you do not see it, check your spam folder.

This is a fully remote position, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.

Pay: $40–$60/hr

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

  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. Technical aptitude with demonstrated experience in data analysis, annotation, or workflow optimization.
  2. Familiarity with operational processes and a passion for increasing efficiency.
  3. Ability to interpret and communicate data-driven insights clearly and persuasively, both in writing and verbally.
  4. Strong drive to learn, thrive under pressure, and a willingness to work hard in a fast-paced environment.
  5. 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.

How to apply

Apply here with your profile. We will then email you a link to complete yourapplication on the hiring platform — your application is only considered oncethat final step is done.

Originally posted on Himalayas

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