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Remote Internship Ai Startup Jobs (NOW HIRING)

About Unframe Unframe is an AI-first startup helping the world's largest enterprises bring LLM ... This role is remote but would require working with hiring managers globally. What you'll do: Own ...

You've done this before at an AI startup and want to help build the next one. You should be ... Remote-first with regular off-sites and a high-trust, high-velocity team environment We are a ...

Unlimited PTO and remote flexibility * Opportunity to grow your career at a fast-paced AI startup * Collaborative and innovative work environment We are an equal opportunity employer committed to ...

Senior Back End Engineer

San Francisco, CA · On-site +1

$175K - $195K/yr

Equity : Competitive equity package in a well-funded AI startup with significant upside ... Unlimited PTO with encouragement to actually use it * Remote First Policy : Work from anywhere in ...

Account Executive

Manhattan, NY · Remote

$150K - $200K/yr

Native AI startup experience - you've sold AI, ML, or intelligent automation solutions at a Seed ... Location Remote East Coast US. Team distributed across the US. East Coast office under ...

... in a startup environment. We are not looking for a traditional PM who only writes specs or ... Remote first team If you are excited about building at the frontier of AI, consumer social, and ...

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Remote Internship Ai Startup information

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How much do remote internship ai startup jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote internship ai startup in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Remote Internship Ai Startup vs Data Analyst Intern?

AspectRemote Internship Ai StartupData Analyst Intern
Required CredentialsBasic programming, data analysis, AI fundamentalsStatistics, data analysis, Excel, SQL
Work EnvironmentStartups, tech-focused, remoteCorporate or startup, remote or onsite
Industry UsageAI, machine learning, tech startupsBusiness, finance, marketing, tech
Search & Comparison IntentUnderstanding AI internship roles in startupsComparing data analysis internship opportunities

Remote Internship Ai Startup roles focus on AI, machine learning, and tech startup environments, requiring basic programming and AI knowledge. Data Analyst Intern positions emphasize data analysis skills like statistics and SQL, often in corporate or startup settings. Both are remote-friendly but serve different industry needs and skill sets, making it important to choose based on your career focus.

What is a remote internship at an AI startup?

A remote internship at an AI startup is a temporary, often part-time, position where interns work from outside the company's physical office—usually from home—on projects related to artificial intelligence. Interns may assist with tasks such as data analysis, machine learning model development, research, or software engineering, depending on their skills and the startup’s focus. This arrangement allows interns to gain hands-on experience in the fast-growing AI sector, collaborate with professionals worldwide, and contribute to innovative projects while maintaining flexibility in their work environment.

What are some common challenges faced by remote interns at AI startups, and how can they overcome them?

Remote interns at AI startups often encounter challenges such as limited face-to-face interaction, navigating asynchronous communication, and adapting to a fast-paced, innovative environment. To overcome these, it's important to proactively communicate with mentors and teammates, seek regular feedback, and make use of collaborative tools like Slack or Zoom. Additionally, setting a structured daily routine and taking initiative in project work can help remote interns stay engaged and contribute effectively to the team.

What are the key skills and qualifications needed to thrive as a remote intern at an AI startup?

To thrive as a Remote Intern at an AI Startup, you generally need a foundational understanding of computer science concepts, programming (often Python), and a passion for artificial intelligence or machine learning. Familiarity with tools like Git, Jupyter Notebooks, TensorFlow or PyTorch, and collaboration platforms such as Slack or Trello is commonly expected. Strong self-motivation, time management, proactive communication, and a willingness to learn make a candidate stand out in a remote setting. These skills and qualities are crucial for contributing effectively, adapting to fast-paced changes, and making a measurable impact while working independently.
More about Remote Internship Ai Startup jobs
What cities are hiring for Remote Internship Ai Startup jobs? Cities with the most Remote Internship Ai Startup job openings:
What states have the most Remote Internship Ai Startup jobs? States with the most job openings for Remote Internship Ai Startup jobs include:
Infographic showing various Remote Internship Ai Startup job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Software Engineer - AI Platform (US)

genious ai

Santa Clara, CA • On-site, Remote

Full-time

PTO

Re-posted 29 days ago


Job description

About us
We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch.
Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We're looking for software engineers with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use.
As an engineer at Genios, you'll focus on making minimum loveable products powered by AI-building scalable, reliable, and user-friendly systems. You'll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation.
We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority.
Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Key Responsibilities
  • Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
  • Integrate model training, evaluation, deployment, and monitoring into product workflows
  • Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
  • Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
  • Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
  • Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
  • Work across the stack-from backend systems to product SDKs-to deliver AI features directly into user-facing applications.
  • Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
  • Own critical product components and take responsibility for delivering robust, production-grade features.
  • Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
  • Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.

Qualifications
  • BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience.
  • Strong software engineering background with proven experience shipping production systems.
  • 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
  • Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
  • Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
  • Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems.
  • Experience building and scaling backend platforms, APIs, and microservices.
  • Comfortable working full-stack, from model APIs down to user-facing integrations.
  • Have shipped AI features that users actually use; production experience over theoretical knowledge.
  • Track record of building reliable products with strong attention to detail and usability.
  • Autonomous and excited about taking ownership over major initiatives.
  • Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.

Bonus Points
  • Production experience with LLMs (APIs or custom implementations) at meaningful scale.
  • Experience building agentic systems or LLM-enabled products.
  • Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks.
  • Experience with performance optimization and high-scale document indexing systems.
  • Prior startup experience, grit, and ability to thrive in fast-moving environments.
  • Familiarity with databases and comfortable writing SQL queries.

Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Perks
  • Competitive Compensation
  • Unlimited PTO
  • AI Assistants for work (Coding, General Purpose, etc.)