Project Manager

Shaip Ai Data (india); Ahmedabad District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Shaip.ai is seeking a dynamic Project Manager to lead AI/ML data collection and annotation programs. You will own end-to-end project plans, drive execution, and navigate fast-paced, global environments.

You will collaborate with data scientists, annotators, QA, vendors and product managers, manage timelines and SLAs, and report progress through dashboards and client updates. Ideal candidates have 4+ years in AI/Data projects, strong communication, stakeholder management, and experience with Jira

Qualifications

• 4+ years of project management experience in AI/ML/data annotation
• Strong understanding of AI data lifecycle: collection, cleansing, annotation, QA
• Proficient in Agile/Scrum/Kanban and Jira
• Experience managing global teams and external vendors preferred
• Familiarity with generative AI tools to streamline workflows

Responsibilities

• Lead end-to-end planning and execution for AI data collection and annotation initiatives.
• Collaborate with data scientists, annotators, quality analysts, vendors, and product managers.
• Manage timelines, deliverables, quality standards, and stakeholder communication across multiple concurrent projects.
• Define project scope, objectives, and success metrics with clients and internal teams.
• Proactively identify project risks and implement effective mitigation strategies.
• Prepare and deliver status reports, dashboards, and client updates on a regular basis.
• Leverage generative AI tools to enhance productivity, reporting, and team efficiency.
• Ensure alignment with client expectations, SLAs, and compliance requirements.
• Step in as an individual contributor when required to maintain project momentum.

Skills

Project management

Agile methodologies

Stakeholder communication

Vendor management

Global teams

Tools

Jira

Gantt charts

Job description

Shaip.ai is looking for a dynamic and driven Project Manager to lead AI/ML data collection and annotation programs. The ideal candidate will bring hands-on experience in managing AI data lifecycle projects, with strong execution skills and the ability to navigate fast-paced, global environments. This role blends strategic planning with hands-on execution, making it a great fit for professionals who thrive on ownership and impact.

Key Responsibilities

• Lead end-to-end project planning and execution for AI data collection and annotation initiatives.
• Collaborate with cross-functional teams including data scientists, annotators, quality analysts, vendors, and product managers.
• Manage timelines, deliverables, quality standards, and stakeholder communication across multiple concurrent projects.
• Define project scope, objectives, and success metrics with both clients and internal teams.
• Proactively identify project risks and implement effective mitigation strategies.
• Prepare and deliver status reports, dashboards, and client updates on a regular basis.
• Leverage generative AI tools (e.g., ChatGPT, Claude, Bard) to enhance productivity, reporting, and team efficiency.
• Ensure alignment with client expectations, SLAs, and compliance requirements.
• Step in as an individual contributor when required to maintain project momentum.

Required Skills & Experience

• 4+ years of project management experience, ideally in AI/ML, data annotation, or data operations companies.
• Strong understanding of the AI data lifecycle collection, cleansing, annotation, and QA.
• Solid grasp of project management methodologies (Agile/Scrum/Kanban, Jira, Gantt charts).
• Experience managing global teams and external vendors is highly desirable.
• Proficiency in using generative AI tools to streamline project workflows.
• Excellent communication, organization, and stakeholder management skills.
• High ownership mindset with a proactive, go-getter attitude.
• Prior experience in organizations like Appen, Scale AI, Sama, iMerit etc. is a strong advantage.

Preferred Qualifications

• Certification in Project Management (PMP, CSM, or equivalent) is a plus.
• Passion for AI, ML, and innovation, with a desire to contribute to impactful projects.