The vacancy is well-defined but lacks compensation details, affecting overall quality.
Job description
This team sits at the centre of GenAI data delivery, ensuring high quality execution across complex, fast-moving programs. The work directly plays a pivotal role in the training, evaluation, and optimization of industry leading AI models.
Responsibilities
- Lead planning and execution of GenAI projects, ensuring clear scope, timelines, execution, and deliverables while maintaining client relationships.
- Deliver projects on time and to defined quality benchmarks through disciplined operational management.
- Drive accurate forecasting and proactive risk mitigation to protect delivery commitments.
- Align internal teams, contributors, and clients to ensure clarity of expectations and execution standards.
- Strategically improve productivity and quality by identifying bottlenecks and applying data driven operational decisions.
- Strengthen stakeholder engagement through structured communication and transparent daily, weekly, and monthly reporting.
- Establish structured project closure practices, capturing lessons learned, iterating operating processes, and identifying future opportunities.
- Drive thought leadership and increase scalability of delivery models by applying repeatable workflows and structured improvements to accelerate delivery while maintaining quality.
Requirements
- 4 plus years of experience in project management, technical operations, or AI and ML data programs, ideally in high volume data operations.
- Proven ability to manage multiple projects while upholding high delivery and quality standards.
- Familiarity with large language models or generative AI, with experience in data annotation or AI training data projects strongly preferred.
- Strong planning, organization, and stakeholder communication capability across technical and non-technical audiences.
- Demonstrated risk management and forecasting discipline within project environments.
- Strong data orientation, with the ability to interpret dashboards, identify bottlenecks, and make operational decisions based on metrics.
- Working knowledge of tools such as Excel or SQL, with basic coding or data skills preferred.
- Project Management qualification (ideally from Project Management Professional PMP) or Udemy, Coursera or Google certification.
Conditions
- Nice to Have: Bachelor’s degree in a related field such as Economics, Business, Computer Science, Linguistics, Engineering, or Data Science.
- Advanced degree a plus.
About Appen
Appen is a global AI data company founded in 1996 that provides expert-validated data for training frontier AI models, including large language models and reasoning systems. The company specializes in deep learning, generative AI data services, and annotation platforms, serving 80% of the world's leading LLM builders.