We are sharing a full-time opportunity for a recent graduate with strong analytical ability, technical aptitude, and an interest in data operations, project management, workflow optimisation, and human-data systems to support advanced AI training and operational initiatives.
The role focuses on designing and managing high-quality data workflows, monitoring operational performance, analysing datasets, improving processes, and maintaining strong quality standards across human-data operations.
It is particularly suited to recent graduates in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance, or related quantitative and operational disciplines.
No prior experience in AI is required.
Key Responsibilities
Human Data Operations
Support human-data collection, annotation, processing, and analysis workflows
Design repeatable operational processes for high-quality data production
Monitor workflow performance and identify operational issues
Maintain consistency across data-processing activities
Help ensure datasets meet quality and project requirements
Data Workflow Design
Build and maintain structured data workflows
Map operational processes from intake through completion
Identify opportunities for automation and simplification
Improve workflow reliability and scalability
Support effective handoffs across project stages
Project Management
Coordinate operational activities across assigned projects
Track milestones, dependencies, deliverables, and open issues
Maintain clear visibility into project progress
Surface blockers and support timely resolution
Help keep data initiatives aligned with business objectives
KPI Development & Performance Monitoring
Establish and monitor key operational metrics
Track workflow efficiency, quality, throughput, and related indicators
Identify trends affecting performance
Translate metrics into actionable operational insights
Support data-driven decision-making across projects
Data Analysis & Insights
Analyse datasets to identify patterns, inefficiencies, and improvement opportunities
Investigate anomalies or quality concerns
Develop clear summaries of analytical findings
Translate data into practical recommendations
Support operational decisions with evidence-based analysis
Quality Analysis & Validation
Review data for accuracy, completeness, and consistency
Support development of validation procedures
Identify quality issues and recurring error patterns
Contribute to corrective-action and process-improvement efforts
Maintain strong attention to detail across operational outputs
Reporting & Documentation
Develop and maintain reporting frameworks
Track key metrics and workflow improvements
Document operating processes and project decisions
Prepare clear written summaries for stakeholders
Maintain structured records supporting operational continuity
Process Optimisation
Continuously evaluate workflows for opportunities to improve efficiency
Identify unnecessary manual steps or operational bottlenecks
Recommend scalable process improvements
Support implementation of revised workflows
Measure the impact of operational changes
Cross-Functional Collaboration
Collaborate with technical, operational, analytical, and business stakeholders
Align data workflows with broader project objectives
Communicate findings and operational issues clearly
Support coordination across distributed teams
Contribute proactively to problem solving
AI & Data Project Support
Support data workflows used in AI and machine-learning initiatives
Assist with annotation and human-review processes
Help maintain reliable data inputs for model-development workflows
Contribute to operational processes supporting AI training and evaluation
Develop familiarity with human-in-the-loop systems and AI data operations
Ideal Profile
Recent Bachelor's or Master's graduate in Computer Science, Data Analytics, Industrial Engineering, Operations Management, Economics, Finance, or a related discipline
Strong analytical and quantitative aptitude
Demonstrated experience with data analysis, annotation, workflow optimisation, or comparable project work
Interest in operational processes and efficiency improvement
Strong problem-solving skills
Ability to interpret data and communicate findings clearly
Excellent written and verbal communication skills
Strong attention to detail
Collaborative working style
Ability to take ownership of assigned work
Comfortable working in a fast-paced environment
Strong willingness to learn and develop new technical and operational skills
Engineering or technical background with an operational focus is advantageous
Experience with human-data projects is beneficial
Familiarity with Excel, Tableau, Power BI, or similar visualisation tools is valuable
Familiarity with Python or SQL is advantageous
Internship or project-based experience in data management, AI/ML, operations, or process optimisation is beneficial
No prior AI-training experience is required
Engagement Details
Full-time engagement
Fully remote
Compensation is not specified in the source listing
Work will involve project management, data operations, human-data workflows, quality analysis, KPI tracking, reporting, data analysis, and process optimisation
This role is designed for recent graduates and early-career professionals
Strong analytical ability, ownership, and operational judgement are central to the position
Hiring is being conducted across multiple regions
Responsibilities and performance expectations are consistent across regions
Employment terms may vary depending on hiring region due to coverage, compliance, and time-zone requirements
Project scope, workflows, data requirements, and operational priorities may evolve based on business needs
Work must be completed without using confidential, proprietary, restricted, personally identifiable, or otherwise protected information belonging to any employer, client, data provider, research organisation, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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