This a Full Remote job, the offer is available from: New York (USA) 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

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