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Remote Robotics Engineer Jobs in Georgetown, TX (NOW HIRING)

Revature

Software Engineer

Austin, TX · Remote

$60K - $100K/yr

Software Engineer Revature | United States (Remote to Start) About Revature Revature is a technology services company that builds and deploys high-performing engineering talent for enterprise clients.

Cotality

Principal Creative Technologist

Austin, TX · Remote

... feeling robotic or "uncanny". You will work closely with our engineering and product leaders to ... user problems. #LI-Remote Annual Pay Range: 112,700 - 150,000 USD Application Window: This ...

W&M Environmental Group

Senior Engineer - Wind

Austin, TX · Remote

$93K - $140K/yr

Braun Intertec is seeking a highly motivated Senior Engineer to join our Renewable Energy and ... Ability to travel up to 10% of time. #LI-MB1 #LI-Remote Compensation Range: $93,600.00 - $140,400 ...

Travis County, TX

Engineer Sr. (Traffic)

Austin, TX · On-site +1

$115K - $140K/yr

... Remote Employment: Flexible/Hybrid Job Number: 26-10435 Department: TNR (Trans & Natrl Resrc ... Continuous Job Summary This position is assigned to the Traffic Engineering specialized program ...

Kake Group

Senior Roku Engineer

Austin, TX · Remote

$107K - $146K/yr

We are looking for a Senior Roku Engineer to join a fast-paced team building high-quality OTT and ... Ability to work independently in a remote, fast-paced environment. Nice-to-Have * Experience ...

Kake Group

Senior Roku Engineer

Austin, TX · Remote

$107K - $146K/yr

We are looking for a Senior Roku Engineer to join a fast-paced team building high-quality OTT and ... Ability to work independently in a remote, fast-paced environment. Nice-to-Have * Experience ...

FRINGE BENEFIT GROUP

SOFTWARE ENGINEER

Austin, TX · Remote

job overview The Software Engineer is a mid-to-senior, full-stack engineer responsible for ... Hybrid onsite in Austin, TX and remote Fringe Benefit Group provides equal employment opportunities ...

De Circle

Etherialize - Applied AI Engineer

Austin, TX · On-site +1

We all know that software engineering is getting turned on its head. It's easy to pop open Claude ... across remote environments. This role is likely not a fit if you are primarily interested in:

The Helper Bees

Software Engineer

Austin, TX · On-site +1

$130K - $150K/yr

A remote-first environment across the U.S. supported by intentional, periodic travel for team ... junior engineers with equal clarity. * Experience with the following (or equivalents): Python ...

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All JobsRemote Robotics Engineer JobsRemote Robotics Engineer Jobs in Georgetown, TX

Remote Robotics Engineer information

See Georgetown, TX salary details

$26.9K

$98.1K

$157K

How much do remote robotics engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote robotics engineer in Georgetown, TX is $98,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,600.00 and $118,000.00 per year, depending on experience, location, and employer.

Is robotics a dead field?

Robotics is an active and growing field with applications in manufacturing, healthcare, logistics, and research. Robotics engineers work with sensors, automation systems, and programming languages like Python and C++, and the demand for skilled professionals continues to increase as technology advances.

What engineers make $300,000 a year?

Senior robotics engineers with extensive experience, advanced skills in automation, AI, and control systems, and often working in specialized industries or leadership roles can earn $300,000 or more annually. High compensation is typically associated with seniority, advanced certifications, and working in high-demand sectors such as aerospace, defense, or large tech companies.

What engineers make $500,000?

Senior robotics engineers with extensive experience, advanced skills in automation, AI, and control systems, and often working in specialized industries or leadership roles can earn salaries approaching or exceeding $500,000 annually. High compensation typically involves a combination of base salary, bonuses, stock options, and other incentives, especially in large tech companies or startups. Achieving this level often requires advanced degrees, certifications, and a strong track record of innovation and leadership in robotics engineering.

What is a Remote Robotics Engineer job?

A Remote Robotics Engineer designs, develops, and tests robotic systems while working from a remote location. They use simulation tools, software, and cloud-based platforms to build and program robots for various industries, such as manufacturing, healthcare, and automation. Communication and collaboration with teams are typically done through video calls, online project management tools, and remote coding environments. This role requires expertise in robotics software, hardware integration, and control systems, alongside strong problem-solving skills.

What are the key skills and qualifications needed to thrive in the Remote Robotics Engineer position, and why are they important?

To thrive as a Remote Robotics Engineer, you need a strong background in robotics engineering, programming (such as Python or C++), and experience with embedded systems, supported by a relevant degree in engineering or computer science. Familiarity with industry tools like ROS (Robot Operating System), simulation software (Gazebo or MATLAB), and version control systems (Git) is commonly required, along with relevant certifications. Strong problem-solving skills, self-motivation, effective communication, and the ability to work independently are highly valued in remote settings. These abilities ensure the successful design, testing, and deployment of robotics solutions while collaborating virtually with interdisciplinary teams.

Can a Robotics Engineer work remotely?

Yes, many Robotics Engineers can work remotely, especially those involved in software development, simulation, and system design. However, roles that require hands-on work with hardware or on-site testing may necessitate in-person presence. Remote work opportunities depend on the employer, project requirements, and the engineer's skills with tools like CAD, programming languages, and remote collaboration platforms.

What are some typical challenges a Remote Robotics Engineer might face, and how are they addressed?

Remote Robotics Engineers often encounter challenges related to hardware access, coordination with on-site teams, and troubleshooting physical systems from a distance. To address these issues, engineers frequently utilize remote desktop tools, simulation platforms, and detailed documentation to diagnose and resolve problems without being physically present. Regular video meetings, thorough written communication, and close collaboration with on-site personnel help bridge the gap between remote and in-person work. Proactively coordinating schedules for hands-on testing and leveraging cloud-based development environments can also improve project efficiency and outcomes.

What cities near Georgetown, TX are hiring for Remote Robotics Engineer jobs? Cities near Georgetown, TX with the most Remote Robotics Engineer job openings:
Remote Robotics Engineer jobs near you

AI Engineer/ML Engineer - Senior Developers - AI Training - Austin, US

Prolific Academic Ltd

Austin, TX • On-site, Remote

$80/hr

Full-time

Posted 28 days ago

Job description

AI & Machine Learning Engineer - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for AI and Machine Learning Engineers to join our Expert Network to help train and evaluate the next generation of LLMs using deep technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
  • Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment.
  • Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques.
  • LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows.
  • Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms.
  • Analytical Critique: high attention to detail in spotting "hallucinations," biased outputs, or logical failures in AI-generated technical content.
What you'll be doing in the role
  • Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
  • Audit Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness.
  • Refine RLHF Frameworks: provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness.
  • Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts and identify where the reasoning breaks down.
  • Benchmark Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics.
Key Technologies
  • Frameworks: expert proficiency in PyTorch or TensorFlow/Keras.
  • Language & Data: advanced Python (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers.
  • Cloud & MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain.
  • Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation.
Why Prolific is a great platform to join as a Participant

Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.
Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.