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Remote Ai Startup Jobs (NOW HIRING)

Be part of a rapidly growing AI startup shaping the future of AI hardware * Work on groundbreaking ... Flexible work environment with remote work options If you are excited about ensuring the highest ...

QA Engineer

Manhattan, NY ยท Remote

$60K - $120K/yr

What We Offer: * 100% remote work with flexible hours. * Competitive salary (depending on experience). * Direct impact on a growing AI startup. * Small team, fast feedback loop, no bureaucracy.

Full-Stack Engineer

Manhattan, NY ยท Remote

$90K - $150K/yr

What We Offer: * 100% remote work with flexible hours. * Competitive salary (depending on experience). * Direct impact on a fast-growing AI startup. * Small team, fast feedback loop, no bureaucracy.

DevOps Engineer

Manhattan, NY ยท Remote

$60K - $120K/yr

Fully remote role with flexible hours. * Competitive salary (based on experience). * Direct influence on scaling a fast-growing AI startup. * No bureaucracy, you'll own infrastructure decisions.

QA Engineer

Manhattan, NY ยท Remote

$60K - $120K/yr

What We Offer: * 100% remote work with flexible hours. * Competitive salary (depending on experience). * Direct impact on a growing AI startup. * Small team, fast feedback loop, no bureaucracy.

DevOps Engineer

Manhattan, NY ยท Remote

$60K - $120K/yr

Fully remote role with flexible hours. * Competitive salary (based on experience). * Direct influence on scaling a fast-growing AI startup. * No bureaucracy, you'll own infrastructure decisions.

Data Analyst

Manhattan, NY ยท Remote

$70K - $100K/yr

What We Offer: * 100% remote work with flexible hours. * Competitive salary (depending on experience). * Direct impact on a growing AI startup. * Small team, fast feedback loop, no bureaucracy.

Role: Customer Success Representative AutoHDR is the fastest growing AI startup in real estate ... Locations Downtown Austin Remote status Temporarily Remote

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Remote Ai Startup information

See salary details

$83.5K

$127K

$171K

How much do remote ai startup jobs pay per year?

As of Jun 9, 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:
Infographic showing various Remote Ai Startup job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

ASIC Design Verification Engineer

Positron AI

Remote

$200K - $350K/yr

Full-time

Posted 3 days ago


Job description

About Positron AI
Positron AI specializes in developing custom hardware systems to accelerate AI inference. These inference systems offer significant performance and efficiency gains over traditional GPU-based systems, delivering advantages in both performance per dollar and performance per watt. Positron exists to create the world's best AI inference systems.
Role Overview
As an ASIC Design Verification Engineer, you will play a critical role in ensuring the functional correctness and performance of our AI inference ASICs. You will be responsible for developing and executing advanced verification methodologies, working closely with design, architecture, and software teams to validate our silicon solutions. This is an opportunity to lead a talented team and contribute to the evolution of AI hardware technology.
Key Responsibilities
  • Develop and execute verification strategies for AI inference ASICs
  • Define and implement comprehensive test plans and verification methodologies
  • Lead the development of verification environments using SystemVerilog UVM
  • Create and maintain simulation testbenches, directed and constrained-random tests
  • Collaborate with design and architecture teams to ensure functional coverage and closure
  • Drive debugging and root cause analysis of design issues in pre-silicon and post-silicon validation
  • Work with FPGA and emulation teams for early hardware validation
  • Manage verification schedules, deliverables, and risk mitigation plans

Required Qualifications
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related field
  • 8+ years of experience in ASIC verification
  • Expertise in SystemVerilog UVM, and sim ulation tools
  • Strong knowledge of verification planning, testbench development, and coverage-driven verification
  • Experience with industry-standard EDA tools (Cadence, Synopsys, Mentor Graphics)
  • Hands-on experience with debugging tools, waveform analysis, and scripting (Python, Perl, or TCL)
  • Familiarity with AI/ML accelerators, memory subsystems, and high-speed interconnects
  • Proven track record of successfully verifying complex ASIC designs

Required Qualifications
  • Advanced degree in Electrical or Computer Engineering or related field
  • Experience with hardware-software co-verification
  • Knowledge of formal verification techniques
  • Understanding of post-silicon validation and bring-up methodologies

Leveling & Scope
While this role is currently posted at a specific level, we are a growth-oriented organization and are open to hiring at a more senior level for the right candidate. Please note that this job description serves as a focused but generalized overview of the role; specific responsibilities and impact expectations will be tailored to the experience and seniority of the final hire.
Why Join Us?
  • Be part of a rapidly growing AI startup shaping the future of AI hardware
  • Work on groundbreaking technology with a highly skilled and passionate team
  • Competitive salary, equity, and comprehensive benefits package
  • Flexible work environment with remote work options

If you are excited about ensuring the highest quality AI hardware and leading an advanced verification team, we want to hear from you! Apply today.
Compensation and Benefits
The base salary range for this role is $200,000 - $350,000.
Please note that the figures provided represent the base salary range only and do not include other elements of our total compensation package, equity, or comprehensive benefits.
At Positron AI, we value the unique expertise each candidate brings. While the range above reflects our typical expectation for the position, we reserve the flexibility to exceed this range for candidates whose specialized skills, significant experience, or unique qualifications fall outside the standard scope of the role. Final offers are determined based on a variety of factors, including internal equity, and individual impact.
Equal Opportunity Employer. If you're excited about the role but don't meet every bullet, we'd still love to hear from you.