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Remote Machine Learning Robotics Jobs in Austin, TX

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AI Engineer (Remote)

Austin, TX · On-site +1

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... machine learning and generative AI models at enterprise scale. This role will also help define best ...

SailPoint

Advisory Agentic Technologist

Austin, TX · Remote

Remote (US) Reports to: Sr. Director, Global Agentic AI --- About SailPoint SailPoint is the ... By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ...

DataAnnotation

Full Stack Engineer

Austin, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Frontend Software Engineer

Georgetown, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Application Developer

Georgetown, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Staff Software Engineer

Georgetown, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Application Developer

Round Rock, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Software Engineer

Georgetown, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Quality Assurance Developer

Georgetown, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Senior Software Engineer

Georgetown, TX · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsMachine Learning Robotics JobsRemote Machine Learning Robotics JobsRemote Machine Learning Robotics Jobs in Austin, TX

Remote Machine Learning Robotics information

See Austin, TX salary details

$32.2K

$63.2K

$98.6K

How much do remote machine learning robotics jobs pay per year?

As of May 31, 2026, the average yearly pay for remote machine learning robotics in Austin, TX is $63,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $74,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Robotics Engineer, and why are they important?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

What are popular job titles related to Remote Machine Learning Robotics jobs in Austin, TX? For Remote Machine Learning Robotics jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Austin, TX look for? The top searched job categories for Remote Machine Learning Robotics jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Machine Learning Robotics jobs? Cities near Austin, TX with the most Remote Machine Learning Robotics job openings:
Remote Machine Learning Robotics jobs near you
Infographic showing various Remote Machine Learning Robotics job openings in Austin, TX as of May 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 93% Physical, and 7% Hybrid job distribution, with an average salary of $63,220 per year, or $30.4 per hour.
AI Engineer (Remote)

AI Engineer (Remote)

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Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Location: Remote
Virtual, work-from-home position. Work anywhere in the US, must live in the US
ABOUT CONTINUED
A leader in EdTech, Continued is a team of passionate individuals dedicated to empowering professionals and enhancing careers. We are fast-paced, nimble, and we laugh a lot. We are proud to be certified as a great workplace, ranked #35 in Fortune's 2025 Best Medium Workplaces, ranked #18 in Fortune's 2025 top 25 Small & Medium Workplaces for Women, and ranked #74 in Fortune's 2024 Best Small & Medium Workplaces for Millennials by the independent analysts at Great Place to Work®. We are 100% virtual, scattered across the country, but we maintain a tight-knit culture driven by curiosity, a love of learning, and a desire to solve complex problems. Learn more about us at continued.com and parent company lacallegroup.com.
THE MISSION
We are seeking an experienced AI Engineer who is motivated, creative, and personable to join our dynamic team. This role requires a strong combination of technical expertise-particularly in software and AI-and real-world experience in building and deploying AI-powered systems. The ideal candidate will be focused on ensuring that technical AI solutions solve real-world problems and deliver measurable business outcomes. The AI Engineer will be responsible for moving models out of a notebook environment and integrating them into a live, scalable, and monitored system.
The AI Engineer will collaborate closely with other engineers and the broader DAIA team to operationalize machine learning and generative AI models at enterprise scale. This role will also help define best practices and guidelines for engineering teams.
WHAT YOU'LL DO (The Impact)
  • AI & Automation Discovery: Partner with stakeholders across the organization to identify and prioritize high-value opportunities for AI and automation.
  • Build & Ship: Design, develop, and support AI & automation systems that drive measurable business outcomes-from initial scoping to production deployment.
  • Platform Engineering: Design, build, and maintain scalable infrastructure, including frontend interfaces, backend services, and the underlying AI platform layer.
  • Data Pipelines & Model Integration: Create data pipelines and AI model context protocols, leveraging tools like MCP, LangChain, vector databases, and semantic search.
  • Reliability & Security: Ensure the high availability, performance, and security of AI platform services.
  • Extensibility: Contribute to platform growth by authoring SDKs, APIs, and comprehensive developer documentation.
  • Communication & Alignment: Translate complex AI concepts for non-technical stakeholders and keep business goals front and center.
  • Stay Sharp: Keep pace with rapidly evolving AI models, frameworks, and research-and bring that knowledge back to the team.

WHO YOU ARE
  • Education: Bachelor's degree in Computer Science, Data Science, or a related field-or equivalent demonstrated experience through portfolio work, open-source contributions, or professional practice.
  • Experience: Minimum of 3-5 years of experience in Software Engineering, Data Engineering, or Data Science, with meaningful hands-on experience building and deploying AI or LLM-powered systems.
  • Technical Skills:
    • Builder & Deployer: You don't just prototype-you ship. You have proven experience moving AI models out of notebooks and into live, scalable, monitored production systems.
    • AI & ML Practitioner: You are fluent in the full generative AI stack-LLMs, embeddings, vector databases, semantic search-and know how to apply them to real business problems.
    • Pipeline Pro: You have strong SQL skills, experience with data warehousing, and you build clean, reliable pipelines that others can depend on.
    • Software Craftsperson: You write production-ready code. OOP, clean architecture, testable systems-these aren't buzzwords to you, they're defaults.
    • Automation Native: You've worked with automation tools (Zapier, Gumloop, n8n, or similar) and know when to reach for them versus when to build something custom.
    • Strategic & Systems Thinker: You connect technical decisions to business outcomes. You can hold the big picture and the implementation detail at the same time.
    • Communicator: You're as comfortable in a stakeholder meeting as you are in a code review.
    • Ethics-First: You believe in responsible, transparent AI practices and bring that lens to everything you build.
    • Culture Fit: You thrive in a remote-first environment, are self-directed, and genuinely enjoy collaborating across functions. Curiosity is your default setting.
  • Preferred by Not Required:
    • Full-Stack Fluency: You've built end-to-end systems with React/TypeScript/Next.js frontends and Python/FastAPI or Node.js backends-and you're comfortable managing data with Postgres or Redis.
    • Quantitative Thinker: You have a solid grounding in statistics, probability, and experimental design. You know how to evaluate model performance rigorously, design meaningful tests, and distinguish signal from noise.

ADDITIONAL REQUIREMENTS
  • Can work a full-time W2 position on core U.S. business hours in your time zone.
  • Ability to fulfill the job requirements with or without reasonable accommodations.
  • Must be located in the United States and be legally eligible to work for us.
  • Travel is required for an all-company meeting, and may be required once or twice per year for team or project meetings.
  • Occasional after-hours/on-call for emergency support and special events (generally less than four times per year).

We prefer an excited candidate with a great attitude and less experience to an unmotivated or unengaged candidate with tons of experience.
WHY JOIN US?
  • Work from home with a company-provided MacBook and internet stipend.
  • 21 days of flexible PTO + your birthday + holidays (with flexible substitution).
  • Comprehensive medical, dental, and vision group health insurance, flexible spending accounts, and more.
  • 401k match, professional development budget, robust wellness programs, pet insurance and many more perks and benefits.

TO APPLY
To apply, please submit a cover letter with your application. In your cover letter, we'd love to hear about: 1) why you would make a great addition to our team, and 2) about a book you've read or video you've watched from which you learned something new or interesting.

Apply