Human Data Manager, New Grad
Posted 1 day ago
You'll complete your application on micro1's career site.
About the Role
In this Human Data Manager position, you will contribute significantly to AI advancement by curating premium, real-world data that influences how machine learning models reason and function. This role is specifically intended for individuals who have recently completed their studies and wish to translate their academic expertise into practical machine learning solutions. You will utilize your specialized knowledge and analytical skills to influence the trajectory of modern AI development. Your routine tasks involve working closely with data pipelines to ensure the information utilized for model training adheres to strict quality and effectiveness criteria. By acting as a liaison between raw input and model optimization, you will support the refinement of sophisticated systems within an agile, team-oriented setting. You will be expected to take a practical approach, tackling operational obstacles and aiding in the expansion of technical data initiatives.
Requirements
- Recent completion of a Bachelor’s or Master’s degree in Economics, Industrial Engineering, Finance, Computer Science, Operations Management, Data Analytics, or a closely related discipline.
- Demonstrated technical capability, specifically in the areas of workflow enhancement, data labeling, or data evaluation.
- Proficiency in interpreting intricate datasets and articulating observations effectively through both speech and writing.
- A high level of motivation, the ability to work effectively under stress, and rigorous focus on data precision and validation.
- Preferred skills include experience with visualization software like Power BI, Excel, or Tableau, as well as coding fluency in SQL or Python.
- Applicants with relevant internships, engineering backgrounds, or project-based experience in AI are encouraged to apply and will receive preference.
Responsibilities
- Create and oversee durable data pipelines for the precise collection, labeling, and assessment of extensive datasets.
- Define and track performance metrics to support data-backed decisions and build reporting structures to monitor procedural progress.
- Examine data collections to identify useful insights and offer well-defined suggestions for increasing operational performance.
- Partner with interdisciplinary groups to harmonize data tactics with organizational objectives.
- Iteratively improve procedures to support data reliability and growth while taking initiative to resolve operational issues.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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