GenAI & Data Science Intern: NLP/LLM Focus

Ameritas-Life-Insurance-Corp; Lincoln (NE); Hybrid; USD 18,000 - 36,000; Part time

Job summary

Ameritas Life seeks a Data Science and Generative AI-focused Intern to drive business insights through cutting-edge AI, NLP, NLU, and computer vision techniques. You will learn to design and train models, refine language models, and implement RAG solutions, collaborating with internal teams to improve processes.

Started in January 2027, this 12-month (or longer) internship offers a hybrid schedule with in-office time in Lincoln, NE and remote work, and a schedule of 8 am to 5 pm Central Time,

Qualifications

• Must be actively enrolled in a relevant degree program.
• Fields include Business Analytics, Statistics, Mathematics, Actuarial Science, Data Science, Economics, Business or Finance.
• Ability to learn and follow industry best practices.

Responsibilities

• Learn to design and develop AI solutions using open source, closed source, and commercial tools.
• Fine tune and train existing base models, implement RAG solutions, and provide technical expertise for language model architectures.
• Participate in the AI development lifecycle and best practices.
• Contribute as an individual on complex projects with collaboration from technical teams.

Skills

Business Analytics

Statistics

Mathematics

Data Science

Economics

Business or Finance

Generative AI

Language models

Transformers

Education

Business Analytics

Statistics

Mathematics

Actuarial Science

Data Science

Economics

Business or Finance

Job description

Ameritas Life seeks a Data Science and Generative AI-focused Intern to drive business insights through cutting-edge AI, NLP, NLU, and computer vision techniques. You will learn to design and train models, refine language models, and implement RAG solutions, collaborating with internal teams to improve processes.

Started in January 2027, this 12-month (or longer) internship offers a hybrid schedule with in-office time in Lincoln, NE and remote work, and a schedule of 8 am to 5 pm Central Time,