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.

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.

Projects will be tailored to each intern’s background and interests. Examples include:

·       Design and test prompts across multiple languages.

·       Evaluate LLM performance on translation, summarization, and question answering tasks.

·       Analyze crosslinguistic differences in prompt effectiveness.

·       Annotate and analyze multilingual or dialectal speech data.

·       Support dataset documentation and quality benchmarking.

·       Explore linguistic variation in speech recognition performance.

·       Generate adversarial prompts in multiple languages and modalities.

·       Evaluate model responses for safety, bias, and robustness.

·       Contribute to internal red teaming frameworks and reporting.

·       Explore behaviors of agentic systems in multilingual or multimodal contexts.

·       Assist in designing evaluation frameworks for autonomy, safety, and alignment.

·       Contribute to internal research on agentic capabilities and risks.

·       Draft blog posts, white papers, or internal briefs.

·       Assist with visualizations and summaries for external publications.

·       Support broader research storytelling and knowledge sharing.

·       Hands-on experience in applied AI research with real-world impact.

·       Mentorship from experienced researchers and exposure to industry workflows.

·       Opportunities to contribute to publications, datasets, and thought leadership.

·       A collaborative and inclusive research environment.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.