Why Join This Team
This team enables efficient, scalable GenAI data project delivery across the organization. The purpose of this role is to design and optimize automation architectures that improve operational efficiency and support client KPIs. You will influence core delivery systems, own the automation lifecycle, and shape how internal platforms such as ADAP and Mercury scale.
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 Appen
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.
Your Impact:
- Design stable, cost efficient automation architectures that support GenAI data delivery at scale.
- Deliver measurable operational savings by identifying and implementing high impact automation opportunities.
- Build and deploy scalable workflows across ADAP, Mercury, and adjacent tools.
- Improve pilot success rates by validating workflow performance and resolving technical issues before production.
- Strengthen contributor experience through production ready workflow logic and system design.
- Automate manual processes using lightweight scripts and integrations that bridge platform gaps.
- Maintain long term reliability and scalability through continuous monitoring and refinement of deployed automations.
- Establish reusable automation frameworks that enable consistent, repeatable delivery across projects.
- Increase team capability by leading training sessions and promoting automation best practices.
What You Bring:
- Ability to identify and design automation opportunities that drive measurable efficiency and cost savings.
- Experience configuring, testing, and deploying solutions across internal platforms such as ADAP and Mercury.
- Capability to develop, document, and maintain lightweight scripts or services to optimize workflows.
- Experience leading technical validation during pilot phases to ensure production readiness.
- Strong collaboration skills across Client Partners, Delivery, and Solutions teams.
- Discipline in maintaining version controlled repositories and clear documentation.
- Commitment to scalability, reliability, and return on investment in automation design.
- Ability to train and upskill teams on automation best practices.