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Appen in the Philippines is seeking a Project Associate to manage onboarding workflows, learning materials, and readiness reporting for AI data projects. You will collaborate with Recruiting, Trust & Safety, Delivery, and Program teams to ensure onboarding programs launch on time and continually improve.
Your work includes building modules, FAQs, quizzes, and knowledge checks, evaluating contributor readiness, and maintaining trackers and dashboards for transparent project updates.
As a Project Associate, you'll manage the processes that prepare contributors for AI, LLM, data collection, and relevance projects. You'll build and maintain onboarding workflows, learning materials, and readiness reporting while evaluating contributor performance to ensure they are prepared to begin work. You'll partner with Recruiting, Trust & Safety, Delivery, and Program teams to ensure onboarding programs are ready for launch, aligned with project requirements, and continuously improved.
Success in this role means contributors are prepared on time, project quality standards are met, and stakeholders have clear visibility into readiness and performance.
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.
Appen 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.