Appen's GenAI Project Delivery team sits at the intersection of AI development and real-world data quality, executing the annotation, evaluation, and data collection work that shapes how frontier models perform. The purpose of this role is to drive end-to-end delivery excellence across GenAI projects by ensuring task configuration, contributor performance, and data quality outcomes stay tightly aligned to client expectations. This is a hands-on, cross-functional role with influence over delivery standards, client outcomes, and the continuous improvement of how Appen executes at scale.
Your Impact
- Coordinate assigned project workstreams covering productivity, qualification, training and crowd communications.
- Deliver high-quality annotation and QA during POC and pilot phases to establish quality benchmarks.
- Analyze datasets to surface patterns, insights, and optimization opportunities that inform automation strategy and drive thought leadership content for customers.
- Support Project Managers and Client Partners as the AI expert point of contact across client meetings, workshops, QBRs, and status updates.
- Maintain version control and change communication protocols to ensure contributors are informed of guideline updates prior to launch and throughout production.
What You Bring
- Strong understanding of data quality principles, QA methodologies, and annotation workflows within GenAI or adjacent AI domains.
- Ability to create clear, accurate contributor-facing documentation including guidelines and FAQs.
- Confident communicator with experience engaging cross-functional stakeholders, including client-facing participation in meetings, workshops, or reporting cycles.
- Comfortable operating across multiple concurrent workstreams with a high degree of ownership and attention to delivery standards.
Why You’ll Love Working Here
At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models. You'll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You'll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities to continue to build your capability over time.
About AppenAppen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.
Skills Required
- Strong understanding of data quality principles, QA methodologies, and annotation workflows within GenAI or adjacent AI domains
- Ability to create clear and accurate contributor-facing documentation, including guidelines and FAQs
- Experience engaging cross-functional stakeholders in client meetings, workshops, reporting cycles, or similar settings
- Ability to manage multiple concurrent workstreams with ownership and attention to delivery standards
What We Do
We help our clients enhance their best-in-class products and services around the world, including search engines, social media platforms, voice recognition systems, sentiment analysis, and eCommerce sites. All of that wouldn’t be possible without our team of more than 1 million flexible workers. The world of tech is moving fast, and we help our clients meet the ever-changing needs of their customers. We take pride in our diverse, international team and the flexible and full-time opportunities we offer.
