Part Time AI Data Services - Project Manager

Acolad group; México; A distancia; MXN 743.356 - 1.115.034; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Flexible remote work environment

Opportunities for internal career growth

Paid time off based on hours worked

Descripción de la vacante

Acolad group seeks a Part-Time Project Manager for AI Data Services. In this fully remote role, you will oversee complex AI data projects, ensuring quality and client satisfaction. This role requires strong leadership, communication skills, and a background in project management, particularly in technology-driven environments.

Formación

• 5+ years of experience in project management, preferably in AI/data services.
• Excellent command of English (written and spoken).
• Advanced proficiency in Microsoft Office Suite, particularly Excel.

Responsabilidades

• Lead the full lifecycle of large-scale AI data projects.
• Serve as the main point of contact for clients, ensuring high satisfaction.
• Manage global, cross-functional teams and project budgets.

Conocimientos

Leadership

Stakeholder Management

Analytical Skills

Problem Solving

Organizational Skills

Educación

High School Diploma or University Degree

Descripción del empleo

Part Time AI Data Services - Project Manager

Part Time AI Data Services - Project Manager

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About Acolad

Acolad 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.

About Acolad

Acolad 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 Role

We 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.

Requirements

Key Responsibilities

Project 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 Requirements

• Reliable 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 & Skills

• High 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.)
  
  

Benefits

Why 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 Inclusion

Acolad 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.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Contract

Job function

• Job function

  Project Management

• Industries

  IT Services and IT Consulting

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