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Python Intern Jobs in Hercules, CA (NOW HIRING)

Labelbox

Applied Research Intern

San Francisco, CA · On-site

Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize ... Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow.

Solcoa Industries

Mechanical Engineering Intern

Alameda, CA · On-site

$21.25 - $28.50/hr

The Role - Mechanical Engineering Intern Join our hardware team and help turn designs into working ... Python/MATLAB for data analysis. Compensation & Benefits * Competitive hourly pay * Company ...

Aembit, Inc.

AI Go-To-Market Team Intern

San Francisco, CA · Remote

$17.75 - $23.50/hr

The Opportunity We are looking for a Technical Marketing Intern to build the AI engine behind our ... Connect tools and data sources using Python and/or Node.js scripting and no-code/low-code platforms ...

Aembit

AI Go-To-Market Team Intern

San Francisco, CA · On-site

$17.75 - $23.50/hr

The Opportunity We are looking for a Technical Marketing Intern to build the AI engine behind our ... Connect tools and data sources using Python and/or Node.js scripting and no-code/low-code platforms ...

Aembit

AI Go-To-Market Team Intern

San Francisco, CA · Remote

$15.25 - $20.50/hr

The Opportunity We are looking for a Technical Marketing Intern to build the AI engine behind our ... Connect tools and data sources using Python and/or Node.js scripting and no-code/low-code platforms ...

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All JobsPython Intern JobsPython Intern Jobs in Hercules, CA

Python Intern information

What is the difference between Python Intern vs Python Developer?

AspectPython InternPython Developer
Required CredentialsTypically pursuing or recently completed a degree in computer science or related fieldProven experience, often with a degree or equivalent in computer science or related field
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time roles, independent project work, team collaboration
Employer & Industry UsageTech companies, startups, educational institutionsTech firms, software companies, enterprise environments
Common Search & ComparisonEntry-level, learning, internship opportunitiesProfessional, full-time employment, career growth

The main difference between a Python Intern and a Python Developer lies in experience and responsibilities. Interns are usually students or recent graduates gaining initial exposure, working under supervision. Developers are experienced professionals responsible for designing, coding, and maintaining software solutions independently. Internships serve as a stepping stone toward becoming a full-fledged Python Developer.

What types of projects can a Python Intern expect to work on during their internship?

As a Python Intern, you will typically be involved in supporting ongoing development projects, such as building automation scripts, data analysis tools, or assisting with backend web development. Interns often collaborate with software engineers, data scientists, or QA teams to contribute code, debug issues, and participate in code reviews. The scope of projects may vary by company, but most internships provide hands-on experience with real codebases, exposure to version control systems like Git, and opportunities to learn best practices from experienced mentors.

What does a Python Intern do?

A Python Intern typically assists in developing, testing, and maintaining software applications using the Python programming language. They may work on tasks such as writing scripts, debugging code, automating processes, and collaborating with team members on various projects. Interns often gain hands-on experience with frameworks, libraries, and tools commonly used in Python development. The role is designed to help them build practical skills and prepare for a full-time career in software engineering.

What are the key skills and qualifications needed to thrive as a Python Intern, and why are they important?

To thrive as a Python Intern, you need a solid understanding of Python programming fundamentals, problem-solving ability, and typically a background in computer science or related coursework. Familiarity with version control systems like Git, basic knowledge of frameworks such as Django or Flask, and experience using code editors or IDEs are common technical requirements. Initiative, willingness to learn, and effective communication help interns stand out by enabling collaboration and adaptability in team environments. These skills ensure that interns can contribute effectively to projects, learn quickly, and integrate smoothly into professional development workflows.
What are the most commonly searched types of Python jobs in Hercules, CA? The most popular types of Python jobs in Hercules, CA are:
What cities near Hercules, CA are hiring for Python Intern jobs? Cities near Hercules, CA with the most Python Intern job openings:
Python Intern jobs near you
Infographic showing various Python Intern job openings in Hercules, CA as of July 2026, with employment types broken down into 14% Internship, 1% As Needed, 55% Full Time, 27% Part Time, 2% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.
Applied Research Intern

Applied Research Intern

Labelbox

San Francisco, CA • On-site

Full-time, Internship

Re-posted 5 days ago

Job description

Shape the Future of AI
At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
About Labelbox
We're the only company offering three integrated solutions for frontier AI development:
  1. Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
  2. Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
  3. Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
Why Join Us
  • High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
  • Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
  • Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
  • Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
  • Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

Role Overview
As an Applied Research intern at Labelbox, you will design, build, and productionize evaluation and post-training systems for frontier LLMs and multimodal models. You'll own continuous, high-quality evals and benchmarks (reasoning, code, agent/tool-use, long-context, vision-language, et al.), create and curate post-training datasets (human + synthetic), and prototype RLHF/RLAIF/RLVR/RM/DPO-style training loops to measure and improve real-world task and agent performance.
Your Impact
  • Build and own evaluation and benchmark suites for reasoning, code, agents, long-context, and V/LLMs.
  • Create post-training datasets at scale: design preference/critique pipelines (human + synthetic), and target hard failures surfaced by evals.
  • Experiment and prototype RLHF/RLAIF/RLVR/RM/DPO-style training loops to improve real-world task and agent performance.
  • Land research in product: ship improvements into Labelbox workflows, services, and customer-facing evaluation/quality features; quantify impact with customer and internal metrics.
  • Engage with customer research teams: run pilots, co-design benchmarks, and share practical findings through internal research reports, blog posts, talks, and published papers.
What You Bring
  • A strong foundation in AI and machine learning, backed by a Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field (in progress degrees are acceptable for intern positions).
  • A deep understanding of frontier autoregressive and diffusion multimodal models, along with the human and synthetic data strategies needed to optimize them.
  • Passion and experience for LLM evaluation and benchmarking.
  • Expertise in training data quality construction, measurement and refinement.
  • The ability to bridge research and application by interpreting new findings and translating them into functional prototypes.
  • A track record of publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and contributing to the broader research community.
  • Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow.
  • Exceptional communication and collaboration skills.
Applied Research at Labelbox
At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advancing human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Annual base salary range
$35-$45 USD
Life at Labelbox
  • Location: Join our dedicated tech hub in San Francisco
  • Work Style: Hybrid model with 3 days per week in office, combining collaboration and flexibility
  • Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
  • Growth: Career advancement opportunities directly tied to your impact
  • Vision: Be part of building the foundation for humanity's most transformative technology
Our Vision
We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox's Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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