Remote | Human Data Manager, New Grad
About The Position
This full-time, fully remote opportunity is designed for recent graduates and early-career professionals with strong analytical ability, technical aptitude, and an interest in data operations, project management, workflow optimization, and human-data systems. The role supports advanced AI training and operational initiatives by managing data workflows, monitoring operational performance, analyzing datasets, improving processes, and maintaining quality standards across human-data operations. No prior AI experience is required. The position involves coordinating data collection, annotation, processing, review, and analysis workflows; tracking project milestones and performance metrics; reviewing datasets for quality; and sharing findings with stakeholders. The employee will collaborate with technical, operational, analytical, and business stakeholders, and contribute to process improvement as project scope, workflows, data requirements, and operational priorities evolve. Hiring is conducted across multiple regions. Responsibilities are consistent across regions, while employment terms may vary based on coverage, compliance, and time-zone requirements. Work must be completed without using confidential, proprietary, restricted, personally identifiable, or otherwise protected information belonging to any third party. The opportunity is available through 24-MAG LLC, which connects professionals with remote consulting opportunities. Compensation is not specified.
Requirements
- Recent Bachelor's or Master's graduate in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance, or a related field.
- Strong analytical and quantitative aptitude.
- Experience through coursework, internships, or projects involving data analysis, workflow optimization, operations, or similar work.
- Strong problem-solving and communication skills.
- Ability to interpret data and explain findings clearly.
- Strong attention to detail and ownership.
- Comfortable working in a fast-paced, distributed environment.
Nice To Haves
- Familiarity with Excel, Tableau, Power BI, Python, SQL, or comparable tools.
- Internship or project experience in data management, AI/ML, operations, or process optimization.
Responsibilities
- Support data collection, annotation, processing, review, and analysis workflows.
- Build structured, repeatable processes for high-quality data production.
- Monitor workflow performance and identify bottlenecks or quality issues.
- Improve process reliability, scalability, and handoffs across project stages.
- Support human-in-the-loop workflows used in AI training and evaluation.
- Track project milestones, deliverables, dependencies, and open issues; maintain visibility into progress and surface blockers.
- Monitor KPIs covering quality, throughput, efficiency, and workflow performance, and translate operational metrics into actionable insights.
- Support data-driven project and process decisions.
- Analyze datasets to identify patterns, anomalies, and improvement opportunities.
- Review data for accuracy, completeness, and consistency; support validation procedures and corrective-action efforts.
- Prepare analytical summaries and stakeholder updates, and measure the impact of workflow improvements.
- Collaborate with technical, operational, analytical, and business stakeholders to align data workflows with project objectives.
- Document processes and project decisions, communicate findings and operational issues, and contribute to problem solving and continuous improvement.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
