Key skills
AILarge Language Models
About this role
About the team
Seed Global Data is a team focused on producing international data for LLMs. For the training of large models, data is the lifeline of model quality — and the Global Data team is working closely with technical, product, and operations teams to ensure effective data production strategies and execution management.
As a key member of our Global Data Team, the project intern will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse datasets. This role focuses on overseeing and improving operational workflows, primarily for safety-related projects, ensuring they are delivered with high quality and efficiency.
As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 3 months long internship period.
Research and participation in model safety workflows to identify limitations in and support the improvement of model safety and existing evaluation paradigms. This may involve:
- Conducting academic and industry research on the AI safety landscape.
- Performing systematic human or automated evaluations of model outputs for safety, bias, and harmful content.
- Scoring, categorizing, and comparing different models' responses using established safety rubrics.
- Evaluating existing evaluation frameworks and surfacing feedback on areas of improvement.
- Preparing documentation/summaries on evaluation and research findings with detailed assessment reports for stakeholders.
Please note that this role may involve exposure to potentially harmful or sensitive content, either as a core function, through ad hoc project participation, or via escalated cases. This may include, but is not limited to, text, images, or videos depicting:
- Hate speech or harassment
- Self-harm or suicide-related content
- Violence or cruelty
- Child safety
Support resources and resilience training will be provided to support employee well-being.
Seed Global Data is a team focused on producing international data for LLMs. For the training of large models, data is the lifeline of model quality — and the Global Data team is working closely with technical, product, and operations teams to ensure effective data production strategies and execution management.
As a key member of our Global Data Team, the project intern will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse datasets. This role focuses on overseeing and improving operational workflows, primarily for safety-related projects, ensuring they are delivered with high quality and efficiency.
As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 3 months long internship period.
Research and participation in model safety workflows to identify limitations in and support the improvement of model safety and existing evaluation paradigms. This may involve:
- Conducting academic and industry research on the AI safety landscape.
- Performing systematic human or automated evaluations of model outputs for safety, bias, and harmful content.
- Scoring, categorizing, and comparing different models' responses using established safety rubrics.
- Evaluating existing evaluation frameworks and surfacing feedback on areas of improvement.
- Preparing documentation/summaries on evaluation and research findings with detailed assessment reports for stakeholders.
Please note that this role may involve exposure to potentially harmful or sensitive content, either as a core function, through ad hoc project participation, or via escalated cases. This may include, but is not limited to, text, images, or videos depicting:
- Hate speech or harassment
- Self-harm or suicide-related content
- Violence or cruelty
- Child safety
Support resources and resilience training will be provided to support employee well-being.