Data Collection Lead, AI/ML Data Programs
New
W
WhitecollarsAI data operations
Brazil. India. Bangladesh. South AfricaFull-TimeLead
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 3–5 years of experience in project management, data operations, or a related field
- Required Skills
- Project ManagementResource Planning
Requirements
- Bring 3–5 years of experience in project management, data operations, or a related field.
- Have direct exposure to egocentric AI data collection projects.
- Hold a bachelor's degree in Business, Operations, Technology, Computer Science, or a related field.
- Understand AI/ML data requirements; Human-in-the-Loop operations experience is a significant advantage.
- Have experience with data collection modalities such as image and video, speech and audio, multilingual datasets, computer vision, multimodal data, or LLM and generative AI projects.
- Be able to coordinate distributed teams and external resources, evaluate vendors, and mobilize people as project demands change.
- Be comfortable balancing quality, cost, timelines, and feasibility against client objectives.
- Be able to clarify client requirements, explain implications, and recommend workable alternatives.
- Identify root causes and develop systems that make execution more consistent.
Responsibilities
- Manage data collection projects from initiation through final delivery, translating client requirements into plans, timelines, milestones, and workflows.
- Design collection methodologies, including participant profiles, geographic coverage, devices, environments, metadata requirements, and quality criteria.
- Run pilot collections, assess results, identify operational gaps, and refine methods before scaling.
- Identify, evaluate, and coordinate freelancers, field resources, communities, agencies, and external vendors.
- Plan resource capacity, monitor performance, and adjust allocations as requirements evolve.
- Establish quality-control workflows and validate collected data against client specifications.
- Manage recurring quality issues, corrective actions, rejections, and recollection when needed.
- Communicate with clients about requirements, progress, risks, feasibility, and operational challenges.
- Monitor commitments, dependencies, costs, and delivery risks; resolve bottlenecks and escalate concerns with recommendations.
- Document methodologies and create reusable SOPs, templates, and checklists to improve collection workflows.
View Full Description & ApplyYou'll be redirected to the employer's site
