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62 Alo Data Analysis Intern Jobs Hiring Near You

NIO

Data Analysis Intern

San Jose, CA · On-site

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and evaluating language models for specific use cases * Develop and test Python code to interact with LLM ...

NIO

Data Analysis Intern

San Jose, CA

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and evaluating language models for specific use cases * Develop and test Python code to interact with LLM ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows

AARP

Data Analyst Intern

Washington, DC · On-site

$28/hr

As a Data Analyst Intern, you will have the opportunity to work closely with our dedicated team ... Providing support for data analysis and reporting activities * Assisting in collecting, cleaning ...

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Data Analysis Intern

NIO

San Jose, CA • On-site

$38 - $46/hr

Full-time

Posted 16 days ago

Job description

JOB DESCRIPTION
About NIO
NIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO's mission is to shape a joyful lifestyle. NIO aims to build a community starting with smart electric vehicles to share joy and grow together with users.
NIO designs, develops, jointly manufactures and sells premium smart electric vehicles, driving innovations in next-generation technologies in autonomous driving, digital technologies, electric powertrains and batteries. NIO differentiates itself through its continuous technological breakthroughs and innovations, such as its industry-leading battery swapping technologies, Battery as a Service, or BaaS, as well as its proprietary autonomous driving technologies and Autonomous Driving as a Service, or ADaaS.
NIO's product portfolio consists of the ES8, a six-seater smart electric flagship SUV, the ES7 (or the EL7), a mid-large five-seater smart electric SUV, the ES6, a five-seater all-round smart electric SUV, the EC7, a five-seater smart electric flagship coupe SUV, the EC6, a five-seater smart electric coupe SUV, the ET7, a smart electric flagship sedan, and the ET5, a mid-size smart electric sedan.
Roles and Responsibilities:
  • Curate, preprocess, and analyze training data for LLM projects
  • Assist in training, tuning, and evaluating language models for specific use cases
  • Develop and test Python code to interact with LLM APIs and internal tools
  • Participate in improving model workflows through research and implementation of new methods
  • Contribute to integration tasks, connecting AI models with external systems or applications
  • Collaborate with team members for project deliverables, documentation, and code reviews
  • Prepare research summaries or surveys on relevant topics in LLM and generative AI

Qualifications
  • Currently pursuing or recently completed a Master or PhD degree in Computer Science, Data Science, Engineering, or a related field
  • Experience with Python programming; knowledge of libraries such as PyTorch or TensorFlow is an advantage
  • Familiarity with API usage and/or web frameworks is preferred
  • Strong problem-solving mindset and willingness to learn
  • Excellent written and verbal communication skills
  • Previous project or coursework experience in LLMs, generative models, or AI research
  • Knowledge of prompt engineering, model fine-tuning, or related evaluation techniques
  • Experience working in a collaborative software engineering environment

Compensation:
The US base salary range for this full-time position is $38.00 - $46.00.
  • Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
  • Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits.

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