The company is looking for a Project Manager Data Collection for AI to structure, lead, and secure data collection projects intended for artificial intelligence use cases.

The position is part of a context of developing activities related to AI, with a growing need for reliable, qualified, diverse, and usable data to train, test, or improve models. The role is at the interface between business needs, technical/data teams, operational teams, and external partners.

Position challenge

The main challenge is to ensure the proper execution of data collection projects, from defining the need to the final delivery of datasets, while ensuring a high level of quality, traceability, and compliance.

The candidate must be able to transform a sometimes complex AI need into a clear, operational, and measurable data collection plan.

Key Responsibilities

The Project Manager will be responsible for:

- Defining data collection projects: objectives, scope, volumes, languages, formats, deadlines, budget, and quality criteria




- Set up the workflows for data collection, annotation, validation, and delivery.
- Coordinate internal and external resources involved in the projects.
- Monitor project progress and anticipate operational risks
- Ensure the quality of the data produced and their conformity to specifications
- Ensure clear reporting to internal teams and management
- Participate in structuring the methods, tools, and best practices of data collection for AI.

Target profile

The profile sought is a highly structured project manager, focused on operations and quality, with a good understanding of data/AI issues.

The position does not necessarily require a technical data scientist profile, but the candidate must be sufficiently comfortable with data topics to communicate with technical teams and understand the constraints related to AI datasets.

📌 Data Collection Project Manager (Argentina)
🏢 Pampa Talents
📍 Argentina