Project Management Executive (Data Labelling)

Posted Yesterday
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Hiring Remotely in Pathum Wan, Bangkok, THA
Remote
Junior
Artificial Intelligence • Information Technology • Machine Learning • Consulting
The Role
Lead end-to-end project operations for data labeling and content moderation, managing schedules, budgets, documentation, and cross-functional coordination. Recruit, onboard, and optimize contractor performance through QA processes and feedback. Drive process improvements and align workflows with industry best practices to boost client satisfaction and operational efficiency.
Summary Generated by Built In
1. Project Lifecycle & Operations Management
  • Requirement Gathering & Planning: Collect, evaluate, and synthesize complex project requirements into clear, actionable operational execution plans in alignment with internal stakeholder objectives.
  • Resource & Timeline Governance: Oversee end-to-end project schedules, financial allocations, team quality benchmarks, and manpower distribution to guarantee on-time deliverable execution.
  • Cross-Functional Synergy: Serve as a central communication bridge to facilitate seamless coordination between content moderation teams, quality assurance leads, and internal business departments.
  • Documentation & Reporting: Maintain accurate project documentation, audit trails, and periodic executive progress reports to track operational milestones.
  • Client Satisfaction Strategy: Formulate and deploy client-centric strategies designed to elevate satisfaction metrics, operational transparency, and long-term retention.
2. Contractor & Content Moderator Management
  • Talent Acquisition & Onboarding: Assess project-specific staffing requirements, design targeted recruitment strategies, conduct structured interviews, and manage background verification processes to onboard qualified contractor talent.
  • Workflow Integration: Direct the complete onboarding lifecycle—including corporate orientations, policy training, and seamless integration into active project workflows.
  • Performance Optimization & Quality Control: Continuously audit contractor outputs against established SLAs, enforce operational guidelines, and execute multi-tiered Quality Assurance (QA) protocols to maintain high accuracy and data consistency.
  • Feedback & Mentorship: Provide ongoing operational support, conduct regular performance reviews, and deliver constructive feedback loops to optimize overall workforce efficiency.
3. Continuous Improvement & Innovation
  • Process Optimization: Audit existing data labeling and content moderation workflows to diagnose operational bottlenecks and implement systemic process enhancements.
  • Industry Alignment: Stay informed on global content moderation frameworks, AI-assisted labeling trends, and industry best practices to introduce scalable, innovative operational solutions.

Requirements
  • Bachelor’s or higher degree in Project Management, Business Administration, Data Analytics, or a related discipline.
  • Minimum of 1+ years of experience in project management, operations coordination, data analysis, or a closely related functional field.
  • Strong analytical capabilities with a robust understanding of operational statistics, data interpretation, and workflow metrics.
  • Advanced expertise in MS Excel (complex functions, data modeling) and data analysis tools. Direct proficiency in enterprise project management platforms (e.g., JIRA, Asana, Trello) is considered a distinct advantage.
  • Exceptional attention to detail, high reliability, and a proven track record of rapid learning agility and adaptability in fast-paced environments.
  • Superior verbal and written communication skills in English, with a demonstrated ability to articulate complex operational concepts, technical guidelines, and project metrics clearly to diverse internal and external stakeholders.

Benefits
  • Hybrid Working options with Flexible Working Hours.
  • Your Choice of Gear: Mac or Windows? You pick your preferred work equipment.
  • Comprehensive Group Health Insurance.
  • Monthly GrabFood and Grab Transportation credits.
  • Job-related training courses, plus Free Language Courses and certificate fee coverage.
  • 10+ days of annual leave.
  • Free snacks and drinks available at the office.

Skills Required

  • Bachelor's degree in Project Management, Business Administration, Data Analytics, or related discipline
  • Minimum of 1+ years of experience in project management, operations coordination, or data analysis
  • Advanced expertise in MS Excel (complex functions, data modeling)
  • Proficiency with data analysis tools and understanding of workflow metrics and operational statistics
  • Direct proficiency in enterprise project management platforms (e.g., JIRA, Asana, Trello)
  • Exceptional attention to detail, reliability, rapid learning agility, and adaptability
  • Superior verbal and written communication skills in English
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The Company
HQ: Bangkok, Bangkok
91 Employees
Year Founded: 2016

What We Do

Data Wow is an expert in data processing and a leader in AI development. With vigorous computer visions and best-in-class solutions supported by our strong Japanese partner, we offer end-to-end tailored solutions across all data stages – data labeling, management, and deployment. We are well-equipped with the capabilities to deploy web/app development, data pipeline and warehouse, data analytics, data security, Artificial Intelligence (AI), and Machine Learning (ML). Examples of our solutions and technologies are full-service data labelling and tools, data engineering, predictive analytics, big data, and tech/AI consultation and training. We leverage our knowledge in an extremely specific domain to address and tackle novel business problems via data-driven systems. We are industry agnostic, and we solve pressing issues for companies of all sizes – from startups to large enterprises. Through our holistic approach, we combine the latest technology with in-depth business understanding to deliver actionable, impactful and measurable values. Interested to learn more or work with us, please visit us via our website https://datawow.io/careers

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