Human Data Manager Role Focused on Data Operations and AI Input
Overview
As a remote Human Data Manager, you’ll shape how real-world input guides AI learning and behavior. Your domain expertise will influence how models reason and perform, with a focus on high-quality data annotation, collection, and processing. This full-time role centers on building reliable data workflows and measuring impact through concrete KPIs, without requiring prior AI experience.
What You'll Do7
- 1Design and oversee end-to-end data workflows for accurate annotation, collection, processing, and analysis.
- 2Set and track KPIs to improve operations and support data-driven decisions.
- 3Examine datasets to surface actionable insights and propose efficiency improvements.
- 4Work with cross-functional teams to ensure data plans align with business goals.
- 5Create and maintain reporting structures that monitor metrics and process enhancements.
- 6Refine procedures to scale operations while preserving data integrity and quality.
- 7Take ownership of challenges and proactively address operational gaps.
Requirements5
- 1Proven ability in data analysis, annotation, or workflow optimization with technical aptitude.
- 2Hands-on experience with operational processes and a drive to raise efficiency.
- 3Clear, persuasive communication of data insights in writing and in conversation.
- 4Strong willingness to learn and perform well under pressure in a fast-paced setting.
- 5Detail-oriented collaboration skills focused on data quality and validation.
Who Should Apply
The ideal candidate brings a track record in data work and a technical mindset, ready to design scalable data processes. The role may not be a fit for someone without experience in data analysis or without an interest in optimizing workflows. Common fit questions include comfort with measuring performance via KPIs and ability to translate data findings into actionable steps; candidates who struggle with presenting data clearly or who prefer purely individual work may score lower.
Salary Insight
Pay ranges from 40 to 60 per hour and is discussed in the interview process. No numbers are added here beyond what’s provided.
Location
Required Skills
Application Tip
Highlight a concrete metric from a past project, such as a percent improvement in data turnaround time or a KPI you owned, and mention how you applied a specific tool (e.g., SQL, Tableau) to achieve it.
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How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
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