5 дней назад
Data Program Manager, AI/ML Delivery
140 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Program Manager, AI/ML Delivery (AI/ML data operations): Owning client delivery of human data solutions, including annotation, labeling, and evaluation datasets for off-the-shelf AI/ML products, with an accent on cross-functional coordination, quality metrics, and client management. Focus on translating technical concepts, resolving delivery risks, analyzing datasets, and improving production workflows.
Location: Hybrid - New Jersey, United States
Salary: $140,000–$150,000 per year, based on experience, skills, and qualifications.
Company
is a global data engineering company providing data, evaluation frameworks, platforms, services, and human expertise for Generative AI and other AI systems.
What you will do
- Own client engagements from kickoff through completion, ensuring delivery on time, to specification, and to client expectations.
- Build and manage human data solutions, including data annotation, labeling, and evaluation datasets for AI/ML products.
- Coordinate data operations, analysts, subject-matter experts, and other internal teams.
- Translate technical concepts for non-technical stakeholders and communicate business requirements to technical teams.
- Manage priorities across multiple clients and projects while identifying and resolving delivery risks.
- Use quality metrics, acceptance criteria, and dataset-level analysis to identify gaps and drive delivery improvements.
Requirements
- Hybrid work in New Jersey, United States.
- 4+ years of experience in technical program or project management, delivery management, or data operations within AI/ML, data annotation, or related technology domains.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
- Experience working in technical environments and managing cross-functional teams without direct authority.
- Strong attention to detail, analytical skills, client management, communication, and risk management abilities.
- Experience working with quality metrics, acceptance criteria, and dataset-level analysis.
Nice to have
- Understanding of LLMs, model evaluation, benchmarking, data annotation, and AI/ML data production workflows.
- Experience delivering datasets or evaluation assets to AI labs, research organizations, or ML engineering teams.
- Exposure to benchmark and evaluation frameworks, annotation platforms, SME-driven data production, or RLHF workflows.
- Working knowledge of Python, SQL, or analytics and BI tools.
- PMP, Agile, or equivalent program management certification.
Culture & Benefits
- Work at the intersection of client management, data operations, and AI/ML delivery.
- Opportunity to contribute to process and delivery improvements as capacity allows.
- Potential to build and lead a team as the practice scales.
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