Remote | Human Data Manager, New Grad
About The Position
24-MAG LLC is recruiting a recent graduate for a full-time, fully remote Human Data Manager opportunity supporting advanced AI training and evaluation initiatives. The role focuses on designing, managing, and improving human data workflows; supporting data collection and annotation operations; monitoring operational performance; and maintaining data quality. It combines analytical problem-solving with operational project management, cross-functional collaboration, and continuous process improvement. Prior professional experience in AI is not required. The successful candidate will support human data projects by coordinating operational activities, documenting procedures, applying quality checks, analysing datasets and KPIs, tracking project activities and deliverables, and communicating findings and recommendations. Work may include annotation operations, project coordination, reporting development, quality assessments, and process improvement. Deliverables include operational reports, workflow documentation, quality assessments, and actionable recommendations. The opportunity is available through 24-MAG LLC, which connects experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. Recruitment is being conducted across multiple regions to support operational coverage, compliance requirements, and time-zone alignment; employment terms may vary by region. There is one opening.
Requirements
- Recent Bachelor's or Master's graduate in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance, or a related discipline.
- Strong analytical aptitude and interest in data operations, process improvement, and project management.
- Academic, internship, or project-based experience in data analysis, annotation, or workflow optimisation.
- Familiarity with data collection, processing, and validation principles.
- Basic understanding of operational processes and performance management.
- Ability to analyse datasets and interpret quantitative findings; familiarity with KPIs and operational reporting.
- Strong attention to detail in reviewing data quality and identifying inconsistencies.
- Ability to approach operational challenges through structured analytical reasoning.
- Excellent organisational skills and ability to manage multiple responsibilities.
- Strong written and verbal communication skills, including explaining data-driven insights.
- Ability to collaborate effectively with technical and non-technical stakeholders.
- Willingness to learn new technologies, analytical methods, and operational processes.
- Proactive, execution-oriented approach to project responsibilities; adaptability in a fast-paced environment.
- Ability to work independently while maintaining clear communication with a remote team.
- Prior professional experience in AI model training or evaluation is not required.
Nice To Haves
- Background in engineering, technical operations, or human data projects.
- Familiarity with Excel, Tableau, Power BI, or comparable data analysis and visualisation tools.
- Knowledge of Python, SQL, or related analytical programming tools.
- Internship or project experience involving data management, AI/ML, or process optimisation.
Responsibilities
- Design and manage structured workflows for data collection, annotation, processing, and analysis.
- Coordinate operational activities across human data projects.
- Identify workflow inefficiencies and contribute to practical process improvements.
- Develop procedures and documentation that support consistent data operations and scalable workflows.
- Monitor data quality across annotation, processing, and validation activities; identify inconsistencies and accuracy issues.
- Apply structured quality checks and validation procedures to operational datasets and help resolve data quality issues.
- Establish and monitor KPIs for operational efficiency and data quality.
- Analyse datasets and operational metrics, identify trends and actionable insights, and maintain performance reporting frameworks.
- Present analytical findings and recommendations clearly to project stakeholders.
- Coordinate with technical, operational, and business teams to support project delivery and align workflows with project objectives.
- Track assigned activities, project milestones, and deliverables; communicate progress updates and recommendations.
- Evaluate processes and recommend or support improvements to workflows, reporting, quality monitoring, and scalable operational practices.
- Contribute to continuous improvement initiatives in a fast-paced technical environment.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
