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Artificial Intelligence Developer Intern Jobs in Reno, NV

Eliassen Group

Full Stack Engineer

Carson City, NV · Remote

Strong understanding of modern DevOps practices including CI/CD with Docker, GitHub workflows, and ... Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its ...

Varsity Tutors

Robotics Tutor

Reno, NV · Remote

$40/hr

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

Varsity Tutors

College Computer Science Tutor

Reno, NV · Remote

$40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

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All JobsArtificial Intelligence Developer Intern JobsArtificial Intelligence Developer Intern Jobs in Reno, NV

Artificial Intelligence Developer Intern information

See Reno, NV salary details

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How much do artificial intelligence developer intern jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for artificial intelligence developer intern in Reno, NV is $22.83, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $24.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Developer Intern, and why are they important?

To thrive as an Artificial Intelligence Developer Intern, you need a solid foundation in programming (especially Python), mathematics (linear algebra, probability, statistics), and basic AI/ML concepts, typically supported by coursework or relevant project experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and cloud platforms is highly valuable. Curiosity, problem-solving skills, and effective communication help interns learn quickly, collaborate with teams, and present technical concepts clearly. These skills are essential for contributing meaningfully to projects, adapting to new challenges, and growing within the fast-evolving AI field.

What does an Artificial Intelligence Developer Intern do?

An Artificial Intelligence Developer Intern assists in designing, developing, and testing AI models and applications under the supervision of experienced engineers. Their tasks often include data preprocessing, algorithm implementation, model training, and performance evaluation. Interns may work with technologies such as machine learning, natural language processing, or computer vision, depending on the organization's focus. The internship provides hands-on experience with real-world AI projects and helps interns gain practical skills for a future career in artificial intelligence.

What types of projects and responsibilities can an Artificial Intelligence Developer Intern expect to work on during their internship?

As an Artificial Intelligence Developer Intern, you can expect to assist with data preprocessing, model training, and algorithm development for projects involving machine learning or deep learning. Typical responsibilities may include collaborating with senior engineers on experimental model design, preparing datasets, and evaluating model performance. Interns often participate in code reviews and team meetings, gaining hands-on experience with real-world AI applications. This role provides valuable exposure to industry-standard tools and the opportunity to contribute to impactful projects, which is beneficial for future career growth.
Artificial Intelligence Developer Intern jobs near you
Infographic showing various Artificial Intelligence Developer Intern job openings in Reno, NV as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $47,481 per year, or $22.8 per hour.

Manufacturing Systems & Infrastructure Engineer (Mandarin)

BitDeer

Reno, NV • On-site

Full-time

Posted 21 days ago

Job description

About Bitdeer Technologies Group
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit
Job">https://ir.bitdeer.com/
Job Description
Bitdeer is seeking an experienced System & Infrastructure Engineer to support and maintain critical manufacturing and MES (Manufacturing Execution System) environments at our US factory site.
The ideal candidate will be responsible for ensuring the stability, availability, and performance of production systems, including C/S architecture applications, SQL Server databases, storage systems, and factory IT infrastructure. This role requires strong troubleshooting capability, hands-on system administration experience, and the ability to support 24/7 manufacturing operations onsite.
What you will be responsible for:
  • Maintain and support MES and other manufacturing-related systems to ensure stable factory operations;
  • Administer and maintain Windows/Linux servers, Hyper-V virtualization environments, SQL Server databases, and related infrastructure systems;
  • Monitor system performance, troubleshoot incidents, and perform root cause analysis for production issues;
  • Manage SQL Server backup/recovery, database performance optimization, and routine maintenance tasks;
  • Support storage systems, file servers, SAN/NAS environments, and disaster recovery solutions;
  • Coordinate and handle emergency response activities to ensure 24/7 business continuity for factory operations;
  • Maintain system security, patch management, and infrastructure reliability;
  • Work closely with MES vendors, software engineers, and factory operation teams to resolve technical issues;
  • Develop and improve operational procedures, documentation, and system monitoring processes.

How you will stand out:
  • Bachelor's Degree or above in Computer Science, Information Technology, or related fields;
  • 5+ years of experience in system administration, infrastructure support, or manufacturing IT environments;
  • Strong experience with Microsoft SQL Server administration, including backup/recovery, performance tuning, indexing, and troubleshooting;
  • Familiar with C/S architecture applications and enterprise manufacturing systems (MES experience preferred);
  • Familiar with Windows Server administration and basic Linux system management, and Hyper-V virtualization environments;
  • Experience with storage systems, SAN/NAS infrastructure, and disaster recovery solutions;
  • Familiar with TCP/IP, network fundamentals, and common enterprise infrastructure services;
  • Strong troubleshooting and problem-solving skills in production environments;
  • Experience supporting factory onsite operations or manufacturing environments is highly preferred;
  • Ability to support after-hours or emergency production incidents when required;
  • Good communication skills and ability to coordinate with cross-functional teams and external vendors.

Preferred Qualifications:
  • Mandarin speaking is a big plus
  • Microsoft SQL Server related certifications;
  • VMware / Windows Server certifications;
  • Storage or infrastructure-related certifications;
  • Windows Server Hybrid Administrator Associate;
  • Experience supporting MES systems in manufacturing environments

Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

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