Part Time AI Data Services - Project Manager

Remote Full-time
About AcoladAcolad is a global leader in content and language solutions, dedicated to empowering businesses with expert services across translation, localization, and AI data services. Represented by leading brands such as Acolad, Livewords, TextMaster, and Ubiqus, we operate in 25 countries with 2,500+ in-house experts and a vast network of over 20,000 language professionals.At Acolad, we believe our people are the key to our success. Joining our team means becoming part of a collaborative, multicultural environment that nurtures creativity, innovation, and continuous growth.About the RoleWe are currently seeking Project Managers and Senior Project Managers for AI Data Services to join our expanding team in the US Pacific region. In this fully remote role, you will oversee the entire lifecycle of complex AI data projects—from planning to delivery—ensuring high-quality results that align with client expectations, timelines, and budgets.This is an exciting opportunity for professionals who thrive in a fast-paced, data-driven environment and are passionate about the intersection of project management and artificial intelligence.RequirementsKey ResponsibilitiesProject Ownership:Lead the full lifecycle of large-scale AI data projects from initiation to completion.Team Coordination:Manage global, cross-functional teams across different time zones, ensuring effective communication and collaboration.Client Engagement:Serve as the main point of contact for clients, ensuring high satisfaction through clear communication, responsiveness, and proactive problem-solving.Risk & Quality Management:Identify risks early, develop mitigation strategies, and ensure high-quality outputs through structured quality control processes.Resource & Budget Management:Allocate resources efficiently and manage project budgets to meet timelines and deliverables.Process Optimization:Continuously assess and refine project workflows to enhance efficiency, scalability, and outcomes.Remote Project Execution:Utilize tools and platforms to effectively manage distributed teams and maintain full visibility on project progress.Tools & Tech RequirementsReliable high-speed internet connection
Functional phone or VoIP service for team and client communication
Access to a computer with up-to-date software (Windows/Mac)
Familiarity with online project management and collaboration tools (e.g., Jira, Asana, Trello, Slack, Zoom)
Required Qualifications & SkillsHigh School Diploma or University Degree
5+ years of experience in project management, preferably in AI/data services or a related industry
Leadership and stakeholder management skills
Excellent command of English (written and spoken)
Advanced proficiency in Microsoft Office Suite, particularly Excel
Strong organizational, analytical, and problem-solving abilities
Comfortable working independently and making data-driven decisions
Ability to thrive in dynamic, fast-paced environments and adapt to changing priorities
Strong grasp of AI data annotation, collection, validation, and transcription workflows
Nice to Have (Preferred Skills)Knowledge of scripting languages (e.g., Python, R) for automation or data handling
Proficiency in data visualization and reporting tools (e.g., Tableau, Power BI)
Understanding of basic data structures and modeling concepts
Familiarity with CAT tools (e.g., SDL Trados, memoQ, etc.)
BenefitsWhy Join Acolad?Be part of a diverse, international team with a shared passion for innovation and excellence
Work on impactful projects that directly support AI and machine learning development
Opportunities for internal career growth and development
Flexible, remote-friendly environment with paid time off based on hours worked
Regular performance reviews and personalized career guidance
Compensation in USD
Commitment to Diversity and InclusionAcolad is an equal opportunity employer. We are committed to building a workplace that values diversity and fosters inclusion. We welcome applicants of all backgrounds, identities, and experiences, recognizing that diverse teams drive better outcomes.Originally posted on Himalayas

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