Data Collection Lead, AI/ML Data Programs

This is a fully remote position, open to applicants in Brazil, +3 more countries.

📋 Description

• Oversee designated data collection projects from inception to final delivery.

• Convert client needs into organized plans, schedules, milestones, and execution workflows.

• Develop collection strategies outlining participant profiles, geographic reach, devices, settings, metadata requirements, and quality benchmarks.

• Conduct pilot collections, evaluate results, pinpoint operational shortcomings, and enhance methodologies prior to scaling for production.

• Identify, assess, and coordinate freelancers, field personnel, communities, agencies, and external vendors.

• Plan resources and capacity, track performance, and modify resource allocation as needed.

• Establish quality control processes and validate collected data according to client specifications.

• Detect recurring data challenges and manage corrective actions, rejections, and recollections.

• Maintain communication with clients regarding requirements, progress, risks, feasibility, and operational hurdles.

• Track commitments, dependencies, costs, and delivery risks; resolve bottlenecks and escalate issues as necessary.

• Document methodologies and create reusable standard operating procedures (SOPs), templates, and checklists.

• Continuously enhance collection workflows and bolster AI data operations across various domains, geographies, and data types.

⛳️ Requirements

• 3–5 years of experience in project management, data operations, or a related discipline.

• Direct experience with egocentric AI data collection initiatives.

• Proficiency in image and video collection, speech and audio recording, multilingual datasets, computer vision, multimodal data, or LLM and generative AI projects.

• Experience with Human-in-the-Loop operations and AI/ML data requirements is a notable advantage.

• Proven track record in coordinating distributed teams and external resources.

• Experience in evaluating vendors and swiftly mobilizing resources.

• Ability to balance quality, cost, timelines, and feasibility.

• Strong communication and stakeholder management skills.

• Capacity to clarify requirements, articulate implications, and propose feasible alternatives.

• Skills in root-cause analysis and process improvement.

• Resourcefulness, structured execution under pressure, and proactive risk management abilities.

• Bachelor's degree in Business, Operations, Technology, Computer Science, or a related field.

🏝️ Benefits

• Full ownership of data collection projects from start to finish.

• Exposure to a variety of AI programs, data types, industries, regions, and collection challenges.

• Direct influence on AI development through the provision of high-quality datasets.

• Opportunity to create reusable methodologies and enhance operational workflows.

• Cross-functional collaboration with clients, internal teams, freelancers, and external vendors.

• Professional development in project leadership, distributed resource management, data quality, and AI/ML operations.

• Complete flexibility for remote work.

• Collaboration with a globally dispersed team.