Remote | Human Data Manager — $40–$60/hour

24-Mag•New York, NY
•Remote

About The Position

The Human Data Manager supports advanced AI training and operational initiatives by building reliable human-data workflows, improving operational performance, analysing datasets, maintaining quality standards, and coordinating cross-functional execution. The role covers project management, data operations, human-data workflows, quality analysis, KPI monitoring, reporting, and process optimisation. Prior AI experience is not required. The position is fully remote and full-time, with compensation of $40–$60 per hour. The opportunity is available through 24-MAG LLC, which connects experienced professionals with remote consulting opportunities. Hiring is being conducted across multiple regions; responsibilities are consistent, while employment terms may vary based on coverage, compliance, and time-zone requirements. Project scope, workflows, data requirements, and operational priorities may evolve according to business needs. Work must not use confidential, proprietary, restricted, personally identifiable, or otherwise protected information belonging to an employer, client, data provider, research organisation, or other third party. Applicant information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with its Privacy Policy.

Requirements

  • Demonstrated experience in data analysis, annotation, workflow optimisation, or related operational work.
  • Strong project-management skills and operational judgement.
  • Familiarity with data operations and process improvement.
  • Strong analytical and problem-solving skills.
  • Ability to interpret data and communicate insights clearly.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and ownership.
  • Comfort working in a fast-paced, distributed environment.
  • Work must be completed without using confidential, proprietary, restricted, personally identifiable, or otherwise protected third-party information.

Nice To Haves

  • Engineering or technical background with an operational focus.
  • Experience with human-data projects.
  • Familiarity with Excel, Tableau, Power BI, Python, SQL, or comparable tools.
  • Experience in data management, AI/ML, or process optimisation.

Responsibilities

  • Design and manage workflows for data annotation, collection, processing, review, and analysis.
  • Maintain consistency across high-volume human-data operations.
  • Identify bottlenecks, inefficiencies, and operational risks.
  • Improve workflow scalability, reliability, and handoffs across project stages.
  • Support human-in-the-loop processes used in AI training and evaluation.
  • Coordinate projects across operational and analytical workstreams.
  • Track milestones, deliverables, dependencies, blockers, and execution risks.
  • Establish and monitor KPIs for quality, throughput, efficiency, and workflow performance.
  • Translate operational metrics into actionable recommendations.
  • Maintain visibility and accountability across distributed teams.
  • Analyse datasets to identify trends, anomalies, and improvement opportunities.
  • Review data for accuracy, completeness, and consistency.
  • Investigate recurring quality issues and recommend corrective actions.
  • Develop analytical summaries and reporting frameworks.
  • Measure the impact of workflow and process improvements.
  • Collaborate with technical, operational, analytical, and business teams.
  • Align data workflows with broader project objectives.
  • Communicate findings, priorities, and issues clearly.
  • Maintain process documentation and structured operational records.
  • Contribute proactively to problem solving and continuous improvement.
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