
Human Data Manager | $40-$60/hr Remote
Overview
The Human Data Manager role is a remote, full-time position focused on shaping AI learning through high-quality real-world data. You’ll design end-to-end data workflows, measure impact with clear KPIs, and deliver actionable insights to improve model performance. Your domain expertise drives data integrity and scalable processes, even without prior AI work experience. Expect a collaborative, fast-paced environment where your hands-on approach makes a measurable difference.
What You'll Do7
- 1Create and optimize end-to-end data workflows for collection, annotation, processing, and analysis to ensure reliable labeling quality
- 2Set up and track performance metrics to guide operational decisions and improve data outputs
- 3Analyze datasets to identify practical insights and present recommendations that boost efficiency and accuracy
- 4Collaborate with cross-functional teams to align data strategies with broader business goals
- 5Build and maintain reporting structures that monitor metrics and document workflow improvements
- 6Continuously refine processes for scalability and data integrity, upholding high quality standards
- 7Demonstrate initiative by proactively identifying and solving operational challenges
Requirements5
- 1Strong background in data analysis, annotation, or workflow optimization
- 2Comfort with operational processes and a track record of driving efficiency
- 3Ability to translate data findings into clear written and verbal recommendations
- 4Willingness to learn quickly, perform under pressure, and thrive in a fast-paced setting
- 5Excellent collaboration and meticulous attention to data quality and validation
Who Should Apply
Ideal candidates bring a solid data mindset and a readiness to influence AI data pipelines from a practical, hands-on stance. You should enjoy cross-team collaboration, love refining processes, and possess a keen eye for detail even when handling complex datasets.
Salary Insight
Hourly rate falls in the range of $40 to $60, with remote flexibility.
Location
Required Skills
Application Tip
Highlight a concrete example where you redesigned a data workflow to save time or improve accuracy, and quantify the impact with a before/after metric.
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