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Remote Machine Learning Jobs in Austin, TX (NOW HIRING)

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Data Scientist- Install Automation

Austin, TX ยท On-site +1

$78K - $108K/yr

Develop and deploy AI, machine learning, and analytics solutions to support Install Automation , Auto Sequencing , Smart Sequencing , and task automation initiatives. * Build predictive and ...

Senior DevOps Engineer

Austin, TX ยท Remote

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Senior DevOps Engineer

Austin, TX ยท On-site +1

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Senior DevOps Engineer

Austin, TX ยท Remote

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Senior Software Engineer

Austin, TX ยท On-site +1

$121K - $160K/yr

Experience with fintech, data engineering, accounting systems, machine learning and/or 2-sided ... Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall:

Senior Software Engineer

Austin, TX ยท On-site +1

$121K - $160K/yr

Experience with fintech, data engineering, accounting systems, machine learning and/or 2-sided ... Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall:

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Developing and applying machine learning models and integrating AI models using Python, R, SQL, and ...

You'll work alongside our CEO and executive team to translate market needs and technical capabilities into a best-in-class product that leverages machine learning and AI to stay ahead of adversaries.

Data Scientist

Austin, TX ยท On-site +1

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery. * Contribute to product decisions and help shape the ideation, design, and ...

SolidWorks Expert - Remote

Austin, TX ยท Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

Data Annotation Specialist

Austin, TX ยท Remote

$25 - $35/hr

Familiarity with AI and machine learning concepts. Additional language skills, which are beneficial ... remote position. Application Deadline This position is anticipated to close on Sep 9, 2026. About ...

Showing results 41-60

Remote Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do remote machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote machine learning in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Austin, TX?

The most popular types of Machine Learning jobs in Austin, TX are:

What job categories do people searching Remote Machine Learning jobs in Austin, TX look for?

The top searched job categories for Remote Machine Learning jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Machine Learning jobs?

Cities near Austin, TX with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Austin, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 65% Full Time, 25% Part Time, 7% Temporary, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.

AI Trainer - Microbiology Expert

Georgetown, TX โ€ข Remote

micro1 AI
Software Developmentย โ€ขย 11 - 50 employees

$70 - $90/hr

Part-time

Re-posted 12 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelorโ€™s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Masterโ€™s or PhD) in a relevant field.