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Online Python Trainer Jobs in Austin, TX (NOW HIRING)

Proficiency in C++ and Python, including development for Linux-based systems and bare-metal MCUs * Experience training, testing, optimizing, and deploying online and offline machine learning models ...

Proficiency in C++ and Python, including development for Linux-based systems and bare-metal MCUs * Experience training, testing, optimizing, and deploying online and offline machine learning models ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

... model training, versioning, deployment, online serving/evaluation, and monitoring prediction ... Proficient coding skills and strong software development experience in Spark, Python, or Java

Experience in a programming language such as Python, Go, etc. * Experience with 2 or more of the ... education or training. US: $176000 - $257000 (USD) 20% bonus target equity benefits Learn more ...

... online. These embedded systems are core components that enable robots, including humanoids and ... Proficiency in C/C++ and Linux; familiarity with Python, Docker, and Git * Experience working in ...

... training, and managing the team and support the personal/professional growth of the team members ... An hands-on experience with Python/R- Advantage • Outstanding attention to details, analytical ...

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Online Python Trainer information

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How much do online python trainer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for online python trainer in Austin, TX is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What does a typical workday look like for an Online Python Trainer?

A typical workday for an Online Python Trainer involves preparing and delivering live or recorded lessons, assisting students through interactive coding exercises, and providing feedback on assignments. Trainers often spend time answering student questions in forums or live chat, monitoring learner progress, and refining course materials based on feedback. Collaboration with other trainers or curriculum designers may also be part of the role, helping to continuously improve the training experience. This variety ensures that each day is both dynamic and focused on helping students achieve their programming goals.

What is the salary of Python instructor?

The salary of a Python instructor varies based on experience, location, and whether they work full-time or freelance. On average, Python trainers can earn between $40,000 and $80,000 annually, with experienced professionals or those in high-demand areas earning higher wages. Many also supplement income through online courses or private tutoring.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for online Python trainers in 2026 due to its widespread use in data science, web development, and automation. The language's versatility and the growth of online learning platforms continue to drive demand for Python expertise and training roles.

What are the key skills and qualifications needed to thrive in the Online Python Trainer position, and why are they important?

To thrive as an Online Python Trainer, you need a solid understanding of Python programming, experience in curriculum development, and often a degree in computer science or a related field. Familiarity with virtual teaching platforms, collaborative coding tools (like Jupyter Notebooks), and relevant certifications (such as PCEP or PCAP) are highly valuable. Strong communication, patience, and the ability to engage learners in a remote setting are standout soft skills. These skills ensure effective knowledge transfer, learner engagement, and high-quality instruction in an online environment.

Will AI replace Python devs?

As an online Python trainer, it is clear that AI tools can automate some coding tasks, but they do not replace the need for skilled Python developers who understand complex problem-solving, software design, and debugging. Python developers will continue to be essential for creating, maintaining, and improving AI systems and other software applications. Continuous learning and adapting to new tools remain important for Python professionals in a changing tech landscape.

What is an Online Python Trainer job?

An Online Python Trainer is responsible for teaching Python programming to learners via virtual platforms. They design course materials, conduct live or recorded sessions, and assist students in understanding Python concepts. Trainers may work for educational institutions, training companies, or as independent instructors. Their role includes providing coding exercises, debugging help, and ensuring students gain practical experience.

What are popular job titles related to Online Python Trainer jobs in Austin, TX? For Online Python Trainer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Online Python Trainer jobs in Austin, TX look for? The top searched job categories for Online Python Trainer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Online Python Trainer jobs? Cities near Austin, TX with the most Online Python Trainer job openings:
Infographic showing various Online Python Trainer job openings in Austin, TX as of July 2026, with employment types broken down into 80% Full Time, 12% Part Time, and 8% Contract. Highlights an 87% In-person, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,861 per year, or $58.1 per hour.
Perception Engineer

Perception Engineer

TerraFirma, Inc

Austin, TX • On-site

Full-time

Re-posted 4 days ago


Job description

At TerraFirma, we're redefining how the world moves earth for construction. Founded by former SpaceX engineers and backed by Bain Capital Ventures, TerraFirma is automating construction to make it faster, cheaper, and safer.
Our Story & Mission
At SpaceX, we were part of the teams that built the largest rocket in human history, launched the largest constellation of satellites ever made, and delivered connectivity to millions of people worldwide. What we learned was simple: infrastructure is everything.
At Starbase, the biggest barrier to launching missions to Mars was not building the rocket. It was how slow, expensive, and complex it was to build the infrastructure around it. We lacked buildings, roads, water, power, communications, and waste management, and constructing them took far more time and resources than it should have.
From a first-principles perspective, that doesn't make sense. It shouldn't be this hard or costly to create the foundations for progress. That's when we realized something important: the same engineering mindset that enabled us to tackle space exploration and mass manufacturing could be applied to infrastructure. By bringing the principles of simplification, iteration, acceleration, and automation to construction, we can unlock a new era in how the world builds.
Accelerating infrastructure unlocks progress across every domain, creating a self-sustaining engine for tackling humanity's toughest challenges. The innovations we develop on Earth will lay the groundwork for the technologies that one day make settlement on Mars possible.
Job Overview
You will design and implement the perception systems that give our automated heavy machinery the awareness needed to operate effectively in complex, unstructured environments. This role combines high-level architecture decisions with hands-on algorithm development, hardware integration, and field testing. You will work across the perception stack, from integrating and calibrating advanced sensors to building real-time processing pipelines for images, point clouds, and other high-bandwidth data streams. Your work will power critical functions such as collision avoidance, motion planning, localization, and operator visualization.
Responsibilities
  • Integrate multi-spectral and TOF sensors into robotic systems with real-time processing constraints
  • Work with motion and trajectory planning teams to design and synthesize sensor systems to extract required signals and inputs
  • Implement algorithms to efficiently detect objects of interest from incoming data streams for the purposes of collision avoidance, motion planning, and trajectory planning
  • Stitch together and manipulate camera feeds and data from other sensors to effectively visualize the state of physical systems to human operators
  • Develop real-time pipelines for processing, sharing, and fusing data from multiple sensor sources
  • Train Machine Learning (ML) models on existing and custom datasets and support collection and labeling of data for additional training and validation
  • Develop simulation and visualization tools to aid in rapid prototyping of robotic software and control algorithms
  • Own the integration, calibration, and testing of sensors, both for proof-of-concept prototypes and production systems
  • Lead interdisciplinary teams, mentor new employees, and actively participate in the hiring process

Basic Qualifications
  • B.S. in Robotics, Mechanical Engineering, Physics, Computer Science, Electrical Engineering, or a closely related field
  • 2+ years of professional or project experience with robotic software development, involving implementation of real-time algorithms for perception and data processing pipelines
  • Demonstrated experience owning large-scale deliverables, leading teams, and driving product roadmaps

Preferred Skills & Experience
  • Experience working with safety-critical or real-time systems
  • Experience working with embedded applications for robotics, autonomous vehicles, aerospace, automotive, or construction
  • Proficiency in C++ and Python, including development for Linux-based systems and bare-metal MCUs
  • Experience training, testing, optimizing, and deploying online and offline machine learning models with existing and custom datasets
  • Experience implementing algorithms or pipelines for robotic systems or feedback control from scratch in C++ or Python
  • Experience performing object detection on multiple data sources including multi-spectral images and point clouds
  • Experience programming FPGAs for high-throughput networking, compression, or DSP

Additional Requirements
  • Must be willing to work extended hours or weekends when needed to support critical deadlines or triage urgent deployment issues
  • Comfortable with working in a fast-paced startup environment
  • Must be willing to relocate to Austin, TX if not within commuting distance

Compensation & Benefits
Base compensation will vary based on factors such as relevant experience and education. Salaries and leveling will be determined on a case-by-case basis if an offer is extended. Our total compensation package also includes equity in TerraFirma. Relocation packages are available to help cover moving costs, if applicable.