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Hourly Remote Machine Learning Jobs in Austin, TX

We're growing our Data Science team to ship production machine learning that powers ActivTrak ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

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.

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 · 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 · 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 · 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 Software Engineer

Austin, TX · 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 · 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.

Showing results 41-60

Hourly Remote Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

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

As of Sep 8, 2026, the average yearly pay for hourly 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 the difference between Hourly Remote Machine Learning vs Hourly Remote Data Scientist?

AspectHourly Remote Machine LearningHourly Remote Data Scientist
Required CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are commonRequires a degree in statistics, data science, or related fields; certifications in data analysis or statistical modeling are beneficial
Work EnvironmentRemote, project-based, often involves developing algorithms and modelsRemote, analytical focus, involves data analysis, visualization, and insights generation
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, tech firms

Hourly Remote Machine Learning professionals focus on developing algorithms and models, often requiring specialized AI knowledge, while Hourly Remote Data Scientists analyze data to generate insights. Both roles are remote, but their core tasks and industry applications differ slightly.

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

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

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

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

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

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

Senior Data Scientist

ActivTrak

Austin, TX • Remote

Full-time

Posted 13 days ago


Job description

We're growing our Data Science team to ship production machine learning that powers ActivTrak's next generation of workforce intelligence products. This is a hands-on role built around production ownership: you take a problem from formulation through a shipped, monitored model, not just to a notebook.

You'll work on problems like:

  • Predicting user roles and classifying activity from behavioral event data
  • Cross-account benchmarking that turns aggregate usage patterns into product-differentiating insight
  • Making pragmatic tradeoffs between model sophistication, business value, reliability, latency/cost, and iteration speed
  • Partnering with our Data Engineers, who take your models and analysis and turn them into durable, scalable production systems

Where this role starts and ends: You own problem formulation, feature definition, model and scoring logic, evaluation, and ongoing model performance in production. Data Engineering owns the pipeline infrastructure, orchestration, deployment mechanisms, and operational reliability that put your work into production. The primary ownership is clear, but you'll work together across that boundary when production issues span model and platform - your job is the model delivering the intended outcome and improving over time.

This is an individual-contributor role with substantial ownership over your problem space. It does not include people-management responsibilities.

Requirements

Must-Haves:

  • 5+ years bringing machine learning to production at scale, with direct experience making the sophistication/speed/reliability tradeoffs described above
  • Strong Python and production-grade software engineering practices (testing, code review, version control)
  • Experience with classification/prediction problems on behavioral, event, or user activity data
  • Strong SQL and comfort working directly against production data sources, not just flat files or CSVs
  • Experience with feature engineering: defining, standardizing, and validating features for production models
  • Experience monitoring model quality after deployment and responding to drift or degradation, not just shipping and moving on

Nice-to-Haves:

  • Time series analysis and/or hidden state models
  • Parallel dataframes (Dask, Spark, or similar)
  • Comfort working within a layered/medallion-style data architecture (raw cleansed/identified aggregated/de-identified)
  • Feature store experience (versioning, storage, reuse)
  • Cloud environment experience (GCP or AWS), and general comfort operating around containerized/orchestrated infrastructure (Docker, Kubernetes) even if you're not the one building it

Benefits

Why Should You Apply?

  • Own production ML that reaches customers and improves through real-world feedback
  • Work on a genuinely uncommon ML problem: behavioral event data from 9,500+ customer organizations, used for role prediction, activity classification, and cross-account benchmarking
  • Small, senior team with real ownership and visibility to leadership

Work environment

  • Position is remote within US
  • Minimal travel
  • Limited physical demands 

This is an incredible opportunity to embark on an exciting journey with a dynamic, VC-backed company.  If you have a proven track record of creative thinking, a drive for learning, and a deep commitment to collaboration, we want to talk to you! 

ActivTrak is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. ActivTrak does not discriminate on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, age, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.