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Coding Teens Jobs in San Ramon, CA (NOW HIRING)

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Coding Teens information

See San Ramon, CA salary details

$15

$36

$60

How much do coding teens jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for coding teens in San Ramon, CA is $36.90, according to ZipRecruiter salary data. Most workers in this role earn between $27.93 and $44.62 per hour, depending on experience, location, and employer.

What is the difference between Coding Teens vs Coding Juniors?

AspectCoding Teens
Required CredentialsBasic coding knowledge, online courses, or coding bootcamps
Work EnvironmentEducational settings, coding clubs, or online platforms
Employer & Industry UsageSchools, coding camps, youth programs
Search & Comparison IntentLearning resources, beginner coding programs for teens

Coding Teens typically refers to young individuals aged 13-19 learning coding skills through educational programs or self-study. Coding Juniors often denote beginner-level coders, sometimes younger children or those new to programming. While both focus on early learners, Coding Teens emphasizes teenage learners with more advanced projects, whereas Coding Juniors target younger children with foundational skills.

How to start coding as a teenager?

Coding teens can start by learning programming languages such as Python, Java, or JavaScript through online tutorials, coding bootcamps, or school courses. Building small projects, practicing regularly, and participating in coding challenges or communities help develop skills and gain experience for future job opportunities.

What are some common challenges when teaching coding to teenagers, and how can instructors address them?

Teaching coding to teenagers often involves balancing varying skill levels and maintaining engagement. Some students may grasp concepts quickly, while others need more support, so instructors should differentiate instruction and provide adaptable resources. Additionally, keeping lessons interactive and relevant to teens’ interests—such as incorporating game development or projects tied to real-world applications—can boost motivation. Regular feedback and collaborative activities also help students stay engaged and support one another’s learning.

Can I get a programming job at 16?

Coding Teens can often find entry-level programming jobs or internships at age 16, especially if they have strong coding skills and a portfolio of projects. Many employers require applicants to be at least 16 due to labor laws and work permit requirements, and some roles may involve part-time or flexible schedules. Certifications in programming languages or development tools can enhance chances of employment at this age.

What are Coding Teens?

Coding Teens are young individuals, typically in their teenage years, who are learning or practicing computer programming skills. They often participate in coding clubs, online courses, coding bootcamps, or self-study to develop their abilities in languages such as Python, JavaScript, or Java. Coding Teens may build websites, apps, games, or compete in coding competitions. Learning to code at a young age can foster problem-solving skills, creativity, and open up future career opportunities in technology.

What is the hottest job in tech pays $775000 and has nothing to do with coding?

A high-paying tech role unrelated to coding is a Chief Technology Officer (CTO) or executive position, which can earn around $775,000 or more annually. These roles focus on strategic leadership, technology management, and overseeing company tech initiatives, often requiring extensive experience and leadership skills.

What tech jobs pay $400,000 a year?

High-level roles such as senior software engineers, engineering managers, and technical directors at large tech companies or in specialized fields like machine learning or cybersecurity can earn $400,000 or more annually. These positions typically require extensive experience, advanced skills, and often involve leadership responsibilities or equity compensation.

What are the key skills and qualifications needed to thrive as a Coding Instructor for Teens, and why are they important?

To thrive as a Coding Instructor for Teens, you need a solid understanding of programming languages (such as Python, Java, or Scratch), lesson planning abilities, and experience in computer science or education. Familiarity with online learning platforms, coding environments, and educational tools like Code.org or Scratch is typically required. Strong communication, patience, and the ability to engage and motivate young learners are vital soft skills in this role. These skills ensure effective knowledge transfer, foster a positive learning environment, and inspire teens to develop coding proficiency.
What are popular job titles related to Coding Teens jobs in San Ramon, CA? For Coding Teens jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Coding Teens jobs in San Ramon, CA look for? The top searched job categories for Coding Teens jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Coding Teens jobs? Cities near San Ramon, CA with the most Coding Teens job openings:
Coding Teens jobs near you
Infographic showing various Coding Teens job openings in San Ramon, CA as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $76,755 per year, or $36.9 per hour.

Member of Technical Staff, Research Engineering

Listen Labs

San Francisco, CA • On-site

Full-time

Medical, Dental

Posted 10 days ago

Job description

Member of Technical Staff, Product
TL;DR: Listen teaches AI what people actually think and want. We're Sequoia-backed, raised $100M, and our customers include Anthropic, Google, and Cursor. We're hiring engineers who can build a complex AI-native product on a small team of former founders and top-tier builders.
Background
As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers.
Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours.
Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed-loop product development at AI speed. Every coding agent will eventually need this signal.
Company highlights
  • Series B with $100M raised from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC.
  • Selective team of <20 engineers including VC-backed founders, IOI medalists, and engineers from Jane Street and Tesla Autopilot.
  • Customers include Anthropic, Cursor, Perplexity, Google, Microsoft, Robinhood, Nestlé, P&G, and Sweetgreen.
  • Post-PMF growth: 20x year-over-year revenue.
  • Huge market: clear path to $1M+ contracts at over 50% of the Fortune 2000.

Technical Challenges
Database of Humanity. Listen maintains a database of millions of people. We match profiles based on voice, face, and device IDs. Those profiles let us see how opinions change over time, prevent fraud, and find any niche audience.
Emotional Intelligence. There's a gap between what people say and what they think. Our AI interviewer reads tone, hesitation, and facial micro-expressions to go beyond the transcript. We've shipped the first version. We're working on surpassing even the best humans.
Preference Model. Updating the preference model is a research problem: what we already know, when to refresh it, which questions give the highest signal, and how to quantify the uncertainty in our predictions.
Human API. A model of millions of humans is only useful if you can call it from where decisions happen. We want to embed this into Slack, Linear, IDEs, and coding agents themselves. Imagine an agent shipping code, asking Listen what humans actually want, taking action, and iterating.
Agent Evals. Every part of our product is built AI-first. Study Composer helps customers scope and design studies. Research Agent analyzes thousands of responses and writes the report. The ceiling is what McKinsey does for $1M per engagement. The bottleneck is evaluating those qualitative outputs. Once you have the eval, you can hill-climb.
What we look for
  • You solve problems end to end. The team is split vertically, so every engineer owns a part of the product and makes decisions across the LLM pipeline, infrastructure, backend, and UX.
  • You're a future or past founder. You scope your own work, think about the customers, and own your decisions.
  • You care about getting things right. Moving fast is essential, but a 100% solution is much more powerful than an 80% one. When something breaks, you go to root cause.
  • You're excited about pushing LLMs to their limits. We work directly with the frontier model labs on new releases and constantly probe where they break.
  • You communicate complex ideas in writing. We work independently with one meeting a week, so writing is how tradeoffs, problems, and decisions get worked through together.
  • You're highly technical. Most of our team started coding as teenagers and nerd out on details from language design to compilers.

Life at Listen Labs
  • Competitive Compensation: We're backed by world-class investors, including Sequoia Capital, Ribbit, and Conviction, alongside Evantic, AI Grant, and Pear VC, and offer competitive compensation packages with meaningful equity.
    • The range for this role is $180,000 - $300 base. Actual compensation is influenced by a wide array of factors, including but not limited to skill set, experience, and work location. If this range doesn't match your expectations, we still encourage you to apply.
  • Benefits that Support You: Comprehensive healthcare and dental coverage, flexible time off to recharge, and an environment that values balance and trust.
  • Room to Grow: You'll have the opportunity to take on new responsibilities, shape processes from scratch, and grow alongside the company.

Apply