Human Data Manager
Listing checked October 10, 2026 · pay as published by Micro1
Overview
micro1 seeks a Human Data Manager to shape how next-generation AI systems learn and reason. You will design and run data workflows for annotation, collection, processing, and analysis. The role is full-time and remote, with pay between $40 and $60 per hour. No prior AI experience is needed. Your domain knowledge and operational skill are what count.
What You'll Do7
- 1Build and maintain data pipelines that handle annotation, collection, processing, and analysis with accuracy.
- 2Set up and track KPIs to measure operational performance and guide decisions with data.
- 3Examine datasets to find insights that speed up workflows, then present those findings to stakeholders.
- 4Work with teams across the company to connect data strategies to business goals.
- 5Create and update reporting frameworks that monitor key metrics and workflow gains.
- 6Improve processes so they scale, keep data integrity, and meet quality standards.
- 7Take a hands-on role in spotting and fixing operational problems as they arise.
Requirements8
- 1Technical skill with hands-on experience in data analysis, annotation, or workflow improvement.
- 2Knowledge of operational processes and a real interest in making them more efficient.
- 3Ability to explain data insights in clear writing and speech, and to persuade others.
- 4Strong motivation to learn, perform under pressure, and put in consistent effort.
- 5Great teamwork and close attention to detail when managing data quality and validation.
- 6Background in engineering or technical fields with an operational focus or human data projects is a plus.
- 7Familiarity with data visualization tools like Excel, Tableau, or Power BI, or languages such as Python or SQL, is preferred.
- 8Internship or project experience in data management, AI/ML, or process optimization is helpful.
Who Should Apply
This role fits someone with a technical background in data analysis, annotation, or workflow optimization who enjoys building processes and tracking KPIs. You should be comfortable interpreting datasets and communicating findings to different teams. The position is less suitable for people who prefer purely creative work or who dislike hands-on operational problem solving. Candidates often get rejected when they cannot show concrete examples of improving data quality or scaling a workflow. Another common reason for low fit is weak communication of data insights, since the job requires clear written and verbal explanations.
Salary Insight
The pay range is $40 to $60 per hour. The final rate depends on your experience and the region where you are hired. Employment terms vary by region, but the responsibilities stay the same.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$75/hour
This role
$40–$60/hr
Most Data Engineering roles pay $55–$100 per hour. This role's pay sits below that range.
Based on 497 similar roles that publish pay · 99 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 598
- Listed in last 30 days
- 388
- Remote
- 96%
Hiring most right now: micro1 (233) · Mercor (75) · SME Careers (67)
Most requested skills · share of roles
- python20%
- technical writing10%
- ai evaluation8%
- llm evaluation8%
Figures from Data Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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Compensation
$40–60/hr
Required Skills
Application Tip
In your application, highlight specific projects where you designed or improved a data workflow, and name the tools you used, such as Python, SQL, Tableau, or Power BI. Quantify the impact, for example by stating how much you reduced annotation errors or how many records you processed per week. This directly addresses the core requirements and helps your fit score.
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