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Virtual Small Startup Jobs (NOW HIRING)

Align Technology

Startup line Engineer

San Jose, CA

In this role, you will collaborate with a small team to produce custom medical devices using ... Hinge Health Virtual Physical Therapy - Available to all employees and eligible dependents (age 18 ...

Scout HR Services

Director of Operations

Birmingham, MI · On-site

$80K - $130K/yr

Lead and manage a small, diverse team in a fast-paced, startup environment. * Oversee sales ... Virtual or in-person meeting with leadership Team Interview: Meet the broader leadership team and ...

Neurable, INC

Software Developer

Cambridge, MA · On-site

... small, intense, and high-growth environment - Ability to rapidly prototype real features in a startup environment - You know and can admit when something is not great. You can recognize that ...

Neurable, INC

Software Developer

Cambridge, MA

... small, intense, and high-growth environment - Ability to rapidly prototype real features in a startup environment - You know and can admit when something is not great. You can recognize that ...

Levanta

Administrative Assistant

Seattle, WA · On-site

$20.50 - $27.50/hr

Monitoring our virtual mailbox and routing/handling correspondence * Helping track and maintain ... Are highly organized and proactive -- you notice the small stuff before it becomes a problem

Levanta

Administrative Assistant

Seattle, WA · On-site

$20.50 - $27.50/hr

Monitoring our virtual mailbox and routing/handling correspondence * Helping track and maintain ... Are highly organized and proactive - you notice the small stuff before it becomes a problem

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How much do virtual small startup jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for virtual small startup in the United States is $24.40, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $27.40 per hour, depending on experience, location, and employer.

What is the difference between Virtual Small Startup vs Virtual Small Business Owner?

AspectVirtual Small StartupVirtual Small Business Owner
CredentialsTypically requires basic business or industry-specific knowledge, no formal certification neededOften requires entrepreneurial skills, possibly certifications in business management
Work EnvironmentCollaborative, innovative, fast-paced startup setting, often remoteIndependent, flexible, managing own business operations remotely or locally
Employer/Industry UsageUsed by startups in early growth stages, tech or service sectorsUsed by entrepreneurs running small, independent businesses across industries

The Virtual Small Startup typically refers to a team or individual working within a startup environment focused on growth and innovation, often in a remote setting. In contrast, a Virtual Small Business Owner manages their own small business, handling all aspects of operations. While both roles may work remotely and require entrepreneurial spirit, startups emphasize growth and innovation, whereas small business owners focus on day-to-day management and sustainability.

More about Virtual Small Startup jobs
What cities are hiring for Virtual Small Startup jobs? Cities with the most Virtual Small Startup job openings:
What are the most commonly searched types of Small Startup jobs? The most popular types of Small Startup jobs are:
What states have the most Virtual Small Startup jobs? States with the most job openings for Virtual Small Startup jobs include:
What job categories do people searching Virtual Small Startup jobs look for? The top searched job categories for Virtual Small Startup jobs are:
Virtual Small Startup jobs near you
Infographic showing various Virtual Small Startup job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $50,749 per year, or $24.4 per hour.

Altimate Al | Founding Generative AI Engineer

EarlyStage Partners

Sunnyvale, CA • On-site

Full-time

Posted 4 days ago

Job description

Who are we?
Mission
Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization.
By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors, we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article.
Team
As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios.
What are we looking for?
We're in search of a Senior Generative AI Engineer who brings deep expertise in building and deploying large language models and AI systems at scale. This role is for those with extensive experience in developing production-grade AI solutions, particularly in the realm of generative AI and language models. The ideal candidate will play a crucial role in advancing our AI capabilities, designing intelligent agent architectures, and implementing sophisticated RAG pipelines that power our products used by thousands of data teams worldwide.
Professional Experience:
  • 5+ years of hands-on ML/AI experience with at least 1 year of hands-on experience in GenAI/LLM projects
  • Track record of successfully deploying ML/AI systems in production environments
  • Experience working with enterprise customers and understanding their unique requirements
Technical Skills Required:
  • Strong programming skills in Python, including expertise in ML stack (Hugging Face, NumPy, Pandas, scikit-learn)
  • Production experience with deep learning frameworks (PyTorch/Tensorflow) and transformer architectures
  • API development expertise (FastAPI) and production deployment experience
  • Proven experience with prompt engineering best practices and LLM evaluation metrics

Technical Skills Preferred:
Infrastructure & Deployment
  • Experience with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines
  • Experience with observability and monitoring of LLM applications
  • Proficiency in model compression, distillation, and deployment at scale

Model Development & LLMs
  • Expertise in semantic search and embedding models
  • Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems
  • Advanced model fine-tuning techniques, including LoRA, Prompt Tuning, and Adapter Training

Why you should join Altimate AI?
Projects You'll Work On:
  • Advanced AI Agent Architecture: Design and implement sophisticated multi-agent systems that can understand context, make decisions, and enable seamless collaboration between AI and human data professionals.
  • Large-Scale RAG Systems: Build and optimize retrieval-augmented generation pipelines that can efficiently process and utilize enterprise-scale knowledge bases.
  • Model Optimization & Deployment: Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models for specific enterprise data tasks, ensuring faster, more accurate performance.
  • Scalable AI Infrastructure: Develop and optimize cloud-native architectures (AWS, Kubernetes) for large-scale training, inference, and multi-agent orchestration.
  • Enterprise Security & Compliance: Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards.
Impact:
  • Innovation Leadership: Shape the future of enterprise AI by developing novel approaches to autonomous data operations and AI-driven automation.
  • Product Development: Direct influence on our flagship products, DataPilot and DataMates, working on cutting-edge features that define the next generation of AI-powered data tools.
  • Team Growth: Help build and mentor a growing team of AI engineers, shaping our technical culture and practices.
  • Open Source Contribution: Lead and contribute to our open-source initiatives, establishing yourself as a thought leader in the AI community.
  • Technical Growth: Opportunity to work with the latest advancements in AI technology and shape the architecture of next-generation AI systems.
What We Offer
  • Competitive salary and equity
    • Base Salary Range: $50,000 - $120,000 [influenced by your expertise, how the interview goes, and how well you match the role]
    • Equity: 0.1% - 0.4%
  • Access to cutting-edge AI infrastructure and resources
  • Team offsite(US) and opportunities to attend and present at leading industry conferences (across the world)
  • Learning budget for AI courses, books, and computing resources
  • Dynamic and intellectually stimulating work environment with a team of talented engineers
  • Opportunities to shape the direction of the company and leave a lasting impact

Apply