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Intern Ai Coding Trainer Jobs in Boston, MA (NOW HIRING)

PB Coding Coordinator

Boston, MA · On-site

$31.01 - $48.84/hr

Provides education/training for medical providers and coders within the department. * Performs ... At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve ...

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Intern Ai Coding Trainer information

What is an Intern AI Coding Trainer?

Intern AI Coding Trainers are individuals, typically students or recent graduates, who assist in teaching and developing artificial intelligence (AI) and programming skills, often as part of an internship program. They may help design coding exercises, provide feedback to learners, and support classroom or online instruction. Their role often involves learning on the job while contributing to educational projects and gaining experience in both AI and teaching methodologies.

What are the key skills and qualifications needed to thrive as an Intern AI Coding Trainer?

To thrive as an Intern AI Coding Trainer, you need a solid understanding of programming languages (such as Python), foundational knowledge in machine learning concepts, and preferably progress toward a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong communication, patience, and the ability to explain complex technical concepts simply are crucial soft skills for this role. These skills ensure effective training delivery, foster learner engagement, and contribute to the successful development of AI skills in trainees.

How does an Intern AI Coding Trainer typically collaborate with senior engineers and learners during a project?

As an Intern AI Coding Trainer, you will often act as a bridge between senior engineers and learners by assisting with coding workshops, answering technical questions, and helping to create or refine training materials. You'll collaborate with senior engineers to understand project requirements and teaching strategies, while also providing learners with hands-on support and feedback. This role offers a dynamic environment where you can develop both your technical and communication skills, and gain valuable insight into AI project workflows.

What is the difference between Intern Ai Coding Trainer vs Intern Data Science Intern?

AspectIntern Ai Coding TrainerIntern Data Science Intern
Required CredentialsBasic programming knowledge, coursework in AI or codingBasic programming, statistics, or data analysis coursework
Work EnvironmentTech companies, educational platforms, AI startupsData-driven companies, research labs, tech firms
Employer & Industry UsageUsed in AI-focused roles, coding bootcamps, online educationCommon in data analysis, research projects, analytics teams

Intern Ai Coding Trainers typically focus on teaching and guiding students or junior developers in AI coding skills, often within educational or tech environments. Intern Data Science Interns work on data analysis, modeling, and research tasks. While both roles require programming knowledge, the AI Coding Trainer emphasizes teaching and training, whereas the Data Science Intern focuses on data-driven project work.

What are the most commonly searched types of Ai Coding Trainer jobs in Boston, MA?

The most popular types of Ai Coding Trainer jobs in Boston, MA are:

Design Verification Engineer, Intern

Tenstorrent University Jobs

Boston, MA

Internship

Re-posted 12 days ago


Job description

At Tenstorrent, we believe the future of computing must be open, which is why our interns don't just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.

As a Design Verification Engineer Intern on the SoC Digital Verification team, you will help ensure the functional correctness and robustness of Tenstorrent's next-generation RISCV and AI accelerator SoCs. You will work on building and improving modern verification environments, developing tests and checkers, and analyzing coverage to sign off complex digital IP and subsystems. Your work directly contributes to the reliability of the chips that power our AI and highperformance computing roadmap.

We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.

This role is hybrid, based in our Boston, MA office.


Who you are

  • Pursuing a B.S. , M.S. or PhD. in Electrical Engineering, Computer Engineering, Computer Science, or a related field with a focus on digital design and verification.
  • Strong understanding of digital logic design and computer architecture (pipelines, caches, interconnects, memory systems).
  • Familiar with HDLs such as Verilog/SystemVerilog, and interested in learning Formal verification, Cocotb, and UVMbased verification methodologies.
  • Comfortable working in Linux-based development environments and using scripting languages (e.g., Python, Shell, Perl) to automate tasks.
  • Detail-oriented problem solver who enjoys debugging complex issues, reasoning about corner cases, and working from specifications.
  • Collaborative team member with clear communication skills, able to document work and discuss tradeoffs with RTL, architecture, and validation teams.

What We Need

  • Help develop and maintain SystemVerilog/UVM testbenches for SoC IP blocks and subsystems, including stimulus, checkers, and scoreboards.
  • Write and refine verification test plans from architectural and microarchitectural specifications, with a strong focus on corner cases and coverage.
  • Develop constrainedrandom and directed tests, run regressions, and triage failures by working closely with RTL designers to root-cause issues.
  • Analyze functional and code coverage results, identify gaps, and propose additional tests or checks to drive coverage closure.
  • Contribute to automation and infrastructure (scripts, Makefiles, CI hooks, dashboards) that improve verification productivity and debug turnaround time.
  • Partner with crossfunctional teams (architecture, design, performance, validation) to align on expected behavior and signoff criteria for silicon.
  • Have impact measured through coverage metrics achieved, quality and reproducibility of bugs found, and robustness of the verification environment you help build.

What You Will Learn

  • Endtoend SoC design and verification flow for cuttingedge RISCV and AI accelerator architectures.
  • Industrystandard verification methodologies (SystemVerilog/UVM), including testbench architecture, stimulus generation, and scoreboard/checker design.
  • Hands-on experience with simulation, regression, and coverage tools used in largescale industrial verification environments.
  • How to read and interpret hardware specifications, microarchitecture documents, and timing diagrams, and translate them into actionable tests and assertions.
  • Exposure to highperformance interconnects, memory controllers, and accelerators, and how they are verified at IP, subsystem, and SoC levels.
  • Best practices for collaborating in a silicon development team, including code review, documentation, and crosssite communication.

USA Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

  • Winter Term: Jan-Apr work term, Sept-Dec recruit.
  • Summer Term: May-Aug work term, Oct-Apr recruit.
  • Fall Term: Sept-Dec work term, Jan-Aug recruit.

Please note these timelines are for reference only. Actual timelines may vary.