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.

About the Role

Appen is seeking Research Interns to support innovative research in Generative AI, multilingual technologies, and agentic AI systems. As part of our GenAI research team, you’ll contribute to projects that advance safe, inclusive, and effective AI systems across languages and modalities. This internship offers hands-on experience in applied research, dataset development, and model evaluation, with opportunities to contribute to publications and thought leadership.

Key Responsibilities

Conduct literature reviews on topics such as adversarial prompting, multilingual evaluation, and agentic AI.
Assist in dataset curation, annotation, and quality assurance for speech, text, and multimodal data.
Support model evaluation experiments, including prompt engineering and red teaming.
Develop scripts and tools for data analysis, visualization, and automation.
Contribute to internal documentation, research reports, and thought leadership content.
Participate in team meetings and cross-functional collaborations.
Help prepare materials for conferences, publications, and workshops.

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Research Intern - GenAI