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Playground Ai Jobs (NOW HIRING)

Schools

Part Time Preschool Teacher Aide

Spring Valley, CA · On-site

$16.90/hr

Supervise students during lunch, snack, recess, playground time, and transitions (including lining ... Notice of AI Use in Job Application Review As part of our commitment in creating a fair, efficient ...

CourtAvenue

Gigantic Playground, a CourtAvenue company, is a fast-growing creative technology agency that ... AI-native, well beyond vibe coding! * Can be the rubber duck for teammates. Docs, diagrams ...

Exa

Design Engineer

San Francisco, CA · On-site

$150K - $280K/yr

Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive ... Rethink Exa's API playground, from its structure and interactions through production implementation

Edge Delta, Inc.

Senior Product Manager

Seattle, WA · On-site

$183 - $247/hr

We're pioneering Edge Delta AI Teammates: a coordinated team of role-aware, collaborative AI agents ... M-F, 40 hrs./wk; Get hands-on in our interactive playground environment. #J-18808-Ljbffr

Edge Delta, Inc.

$183 - $247/hr

We're pioneering Edge Delta AI Teammates: a coordinated team of role-aware, collaborative AI agents ... M-F, 40 hrs./wk; Get hands-on in our interactive playground environment. #J-18808-Ljbffr

Tiger Analytics Inc.

Tech Partner

$119K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... data playground of a global powerhouse. You won't just deliver projects; you will define how ...

Apple

Machine Learning Engineer, SIML

Cupertino, CA · On-site

Come join the team that turned cutting edge Generative AI research into compelling user experiences ... Playground and Image Wand. From web-scale datasets to distributed training of foundation models ...

Braintrust

Software Engineer, Product

New York, NY · On-site

Ensuring our customers always have a frictionless experience for enabling AI observability in their ... A first-class prompt playground experience supporting multiple models across thousands of user ...

H2 Health

Physical Therapist (PT) - Outpatient

Marlinton, WV · On-site

$1.3K - $1.7K/wk

Located in beautiful Pocahontas County, known as "Nature's Mountain Playground," Marlinton offers a ... Maintain a caseload of approximately 50 visits per week with the support of AI-driven tools that ...

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Playground Ai information

See salary details

$43.5K

$87.7K

$106.5K

How much do playground ai jobs pay per year?

As of Sep 3, 2026, the average yearly pay for playground ai in the United States is $87,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What are Playground AI jobs?

Playground AI jobs typically involve working with artificial intelligence platforms to create, manage, and optimize AI-generated content, such as images, art, or text. Employees may work as engineers, developers, researchers, or support staff, contributing to the development and improvement of AI-powered creative tools. These roles often require a background in computer science, machine learning, or design, depending on the specific position. Playground AI teams collaborate to enhance user experience and expand the capabilities of AI-driven applications.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch and familiarity with data processing tools are essential, along with relevant certifications such as TensorFlow Developer or AWS Certified Machine Learning. Analytical thinking, creativity, and effective communication set standout professionals apart in this field. These skills are crucial to designing, developing, and deploying robust AI solutions that solve real-world problems efficiently.

How does a role at Playground AI typically collaborate with cross-functional teams to deliver innovative AI solutions?

At Playground AI, professionals often work closely with product managers, data scientists, software engineers, and designers to bring AI-powered solutions from concept to deployment. Collaboration is highly encouraged through regular sprint meetings, brainstorming sessions, and code reviews, ensuring alignment on project goals and technical feasibility. This environment fosters learning from peers with diverse skill sets and encourages innovative thinking, which is essential given the fast-paced and evolving nature of AI technology. As a result, team members gain exposure to various aspects of product development and have opportunities to contribute ideas across different stages of the project lifecycle.

What is the difference between Playground Ai vs Data Scientist?

AspectPlayground AiData Scientist
Required CredentialsBasic understanding of AI tools, some coding skillsDegree in Data Science, Computer Science, or related field; often requires advanced certifications
Work EnvironmentCollaborative, tech-focused, often remote or in tech companiesResearch labs, tech firms, finance, healthcare; involves data analysis and modeling
Industry UsageUsed for AI experimentation, prototyping, and testingUsed for data analysis, predictive modeling, and decision-making

Playground Ai is a platform for experimenting with AI models, requiring basic technical skills. Data Scientists perform in-depth data analysis, modeling, and derive insights, often holding advanced degrees. While Playground Ai is more accessible for quick AI testing, Data Scientists engage in comprehensive data-driven projects.

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What cities are hiring for Playground Ai jobs?

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What are the most commonly searched types of Playground Ai jobs?

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Playground Ai jobs near you
Infographic showing various Playground Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $87,736 per year, or $42.2 per hour.

Senior Full-stack Engineer, Console Team (Product-Led Growth Strategy)

Deepgram

Remote

$179K - $246K/yr

Full-time

Re-posted 19 days ago

Job description

Company Overview
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
Company Operating Rhythm
At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you're not excited to experiment, adapt, think on your feet, and learn constantly, or if you're seeking something highly prescriptive with a traditional 9-to-5.
The Opportunity
Deepgram is looking for a Senior Full-stack Engineer to join the Console team.
This team owns the product surfaces that help developers discover, test, and adopt Deepgram, including customer-facing experiences like Console and Playground, as well as internal tooling that supports teams across the company.
In this role, you'll work across the stack to build both polished user experiences and the APIs and services behind them. You'll help developers get started quickly, manage their projects and billing, explore Deepgram APIs hands-on, and use internal tools that make Deepgram teams faster and more effective.
We're looking for a strong generalist engineer who is equally comfortable building user-facing interfaces and backend systems. This role is aimed at senior engineers with broad product instincts rather than niche framework specialization; familiarity with Elm is a plus, not a requirement.
What You'll Do
  • Build and ship full-stack features across Deepgram's customer-facing Console and Playground experiences.
  • Build internal-facing tools and services that improve workflows and productivity across Deepgram.
  • Design, build, and maintain APIs and backend services that power end-user and internal product experiences.
  • Partner with product, design, and engineering to create accessible, performant, and responsive interfaces backed by reliable systems.
  • Translate product ideas and requirements into well-scoped, incrementally releasable work across frontend and backend layers.
  • Balance rapid iteration with long-term maintainability, quality, scalability, and performance.
  • Help raise the bar through code reviews, technical design discussions, and strong engineering practices across the stack.
What we're looking for
  • 5+ years of professional software engineering experience, with a track record of shipping full-stack web applications.
  • Strong front-end skills with modern web technologies and frameworks.
  • Solid backend experience in a language such as Python, Rust, Go, or similar.
  • Experience designing and integrating APIs and backend systems that support customer-facing products.
  • Strong command of web fundamentals, product quality, and user experience.
  • Strong communication skills and the ability to collaborate closely with design, product, and engineering partners.

Nice to have
  • Experience with Elm, or interest in learning it.
  • Experience with backend systems involving databases, schema design, or performance optimization.
  • Familiarity with cloud infrastructure and containerized deployment environments.
  • Experience building developer-facing products, internal tools, or API-centric interfaces.
  • Experience with voice, audio, real-time systems, or AI products.

Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

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