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Remote Ai Startup Jobs (NOW HIRING)

Boundless Networks, Inc.

Technical Business Developer

$100K - $150K/yr

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 ...

Troveo AI Inc

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 ...

Kelaca

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 ...

Sekai

AI Product Manager (Remote)

... 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 Ai Startup information

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$171K

How much do remote ai startup jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote ai startup in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive at a remote AI startup, and why are they important?

To thrive at a remote AI startup, you generally need strong skills in programming (such as Python), machine learning fundamentals, and experience with data analysis, often backed by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), cloud platforms (AWS, GCP), and version control systems (e.g., Git) is typically required. Excellent communication, self-motivation, and collaboration skills are crucial for navigating remote work and fast-paced startup environments. These competencies enable effective technical contributions, agile problem-solving, and seamless teamwork essential for the success of innovative AI-driven startups.

What is the difference between Remote Ai Startup vs Data Scientist?

AspectRemote Ai StartupData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Statistics, Computer Science, or related fields; proficiency in data analysis tools
Work EnvironmentRemote, startup culture, collaborative teamsRemote or on-site, research-focused, cross-industry
Employer & Industry UsageAI-focused startups, tech companiesTech, finance, healthcare, and other data-driven industries
Common Search & Comparison IntentUnderstanding roles in AI startupsComparing data analysis roles with AI-focused positions

Remote Ai Startup roles typically focus on developing AI products within startup environments, requiring skills in AI frameworks and programming. Data Scientists analyze data to inform business decisions across various industries. While both roles involve data and technical skills, Remote Ai Startup positions emphasize AI development in a startup setting, whereas Data Scientists focus on data analysis across multiple sectors.

What are some unique challenges of working remotely at an AI startup, and how can I succeed in this environment?

Working remotely at an AI startup often means adapting to a fast-paced, constantly evolving environment where priorities can shift quickly. One common challenge is staying aligned with team goals and maintaining clear, proactive communication across time zones and digital platforms. Success in this setting depends on strong self-motivation, effective use of collaboration tools, and a willingness to take initiative in problem-solving. Building relationships with colleagues through regular check-ins and actively seeking feedback can also help foster a sense of connection and shared purpose, even when working from different locations.

What is a remote AI startup?

A remote AI startup is a company that develops artificial intelligence technologies or products, with employees and operations distributed across different locations rather than centralized in a physical office. These startups leverage remote work to access a global talent pool, reduce overhead costs, and provide greater flexibility for their teams. Remote AI startups often focus on building innovative solutions in areas such as machine learning, natural language processing, or computer vision, and collaborate using digital tools and communication platforms. Working remotely also allows these startups to quickly scale their teams and adapt to changing market demands.
More about Remote Ai Startup jobs
What cities are hiring for Remote Ai Startup jobs? Cities with the most Remote Ai Startup job openings:
What are the most commonly searched types of Ai Startup jobs? The most popular types of Ai Startup jobs are:
What states have the most Remote Ai Startup jobs? States with the most job openings for Remote Ai Startup jobs include:
What job categories do people searching Remote Ai Startup jobs look for? The top searched job categories for Remote Ai Startup jobs are:
Remote Ai Startup jobs near you
Infographic showing various Remote Ai Startup 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 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Software Engineer - AI Platform (US)

genious ai

Santa Clara, CA • On-site, Remote

Full-time

PTO

Re-posted 3 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.)

Apply