Human Data Manager, New Grad | Remote
Overview
A full-time remote role focused on shaping real-world data for next-generation AI systems. You’ll design and manage data workflows for accurate annotation, collection, and analysis, drawing on your domain knowledge. The work centers on improving model learning, reasoning, and performance through high-quality input, with no prior AI experience required beyond your subject expertise. You’ll build reporting around key metrics and collaborate across teams to align data efforts with business goals. Data workflows, annotation, and quality assurance are core to this position.
What You'll Do7
- 1Design and manage end-to-end data pipelines for data collection, annotation, and processing to support model training.
- 2Set and track operational KPIs to guide data quality and efficiency measures.
- 3Examine datasets to derive actionable insights and present recommendations that speed up workflows.
- 4Collaborate with other teams to ensure data strategies support broader business objectives.
- 5Create and maintain dashboards and reports that monitor metrics and process improvements.
- 6Continuously refine processes to scale data operations while preserving integrity and quality.
- 7Take ownership of issues in operations and actively drive practical solutions.
Requirements6
- 1Recent bachelor’s or master’s degree in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance, or related fields.
- 2Proven experience with data analysis, annotation, or optimizing data workflows.
- 3Familiarity with operational processes and a demonstrated passion for boosting efficiency.
- 4Ability to translate data findings into clear written and verbal communications.
- 5Strong willingness to learn, perform under pressure, and thrive in a fast-moving setting.
- 6Excellent collaboration, meticulous data validation, and a detail-oriented mindset.
Who Should Apply
The ideal candidate is a recent graduate who has hands-on experience with data analysis, annotation, or workflow optimization and a drive to improve efficiency. This role may not be the right fit for someone without a background in data or operations, or for those who struggle with coordinating across teams. Common fit questions include experience building or refining data pipelines and comfort turning data into actionable guidance; candidates with limited exposure to data tools or project-based data work may score lower.
Salary Insight
Salary details are not specified in the listing; compensation discussions occur later in the process.
Location
Required Skills
Application Tip
Highlight a concrete project where you built or improved a data workflow, including metrics like reduced cycle time or improved data quality, and name the tools you used (e.g., Excel, SQL, Python) to demonstrate hands-on capability.
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How your application is processed
1Application received
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2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
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