Associate Project Manager - Intern

Gnani.ai builds voice and conversational AI products. We're looking for a proactive Project Coordinator to support a data operations initiative. You'll work closely with external freelancers and internal teams to make sure data is collected on time, to the required quality, and in line with the company's priorities. You'll own the day-to-day coordination of the project, from sourcing contributors through quality checks and feedback.

• Identify, reach out to, and onboard freelancers through job platforms, professional networks, referrals, and partner agencies.
• Screen candidates against project requirements and keep a clear pipeline of contacted, shortlisted, and onboarded contributors.
• Serve as the main point of contact for freelancers: share briefs, answer questions, and keep communication timely and professional.

• Plan and manage session schedules, balancing project priorities with freelancer availability.
• Anticipate scheduling conflicts and delays, and adjust plans so timelines stay on track.

• Work with internal QC/QA teams to make sure all collected data is reviewed against defined quality standards.
• Run a structured feedback loop: share review findings with contributors, coordinate re-work or re-collection of data that doesn't meet requirements, and track it to closure.

• Attend data collection sessions when required to make sure guidelines, quality standards, and project needs are followed.

• Keep accurate trackers for pipeline status, schedules, deliverables, and quality outcomes.
• Share regular progress updates with stakeholders and flag risks, blockers, and dependencies early.

• Bachelor's degree in any discipline. Freshers and candidates with up to 1 year of experience are welcome.
• Strong organisational skills and the ability to manage several stakeholders and timelines at once.
• Clear, confident written and verbal communication, including with external contributors.
• Good critical thinking: able to spot gaps, question assumptions, and solve problems independently.
• Adaptable and comfortable in a fast-moving environment where priorities can change.
• Attention to detail and a strong sense of ownership.
• Comfortable with spreadsheets (Excel / Google Sheets) and collaboration tools.
• Prior exposure to project coordination, operations, vendor management, or data/annotation projects is a plus but not required.

• Hands-on experience running an end-to-end project at an AI company.
• Exposure to how data operations and quality processes support AI product development.
• The chance to work closely with cross-functional teams.

Primary Skills AI Project Management Data Collection & Mining