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Manager Remote Machine Learning Jobs in Austin, TX

Kake Group

Senior AI Talent Sourcer

Austin, TX · Remote

Core Requirements * 5+ years of experience sourcing AI , machine learning , LLM , research ... management skills. * Ability to work independently in a remote, fast-paced environment. Other ...

HiddenLayer

AI Red Teamer

Austin, TX · On-site +1

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline Must have * Understanding of various machine learning algorithms (e.g. SVM, Random Forests ...

Procore

Commercial Account Manager (Remote)

Austin, TX · On-site +1

$47 - $59/hr

We are looking for folks who are interested in learning more about sales opportunities at Procore ... Manage and maintain accurate leads, opportunities, and account information within Salesforce.com

Procore

Commercial Account Manager (Remote)

Austin, TX · On-site +1

$47 - $59/hr

We are looking for folks who are interested in learning more about sales opportunities at Procore ... Manage and maintain accurate leads, opportunities, and account information within Salesforce.com

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All JobsManager Remote Machine Learning JobsManager Remote Machine Learning Jobs in Austin, TX

Manager Remote Machine Learning information

See Austin, TX salary details

$30.7K

$76.7K

$128.9K

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

As of Jun 19, 2026, the average yearly pay for manager remote machine learning in Austin, TX is $76,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $86,700.00 per year, depending on experience, location, and employer.

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

AspectManager Remote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote team management, project oversightData analysis, model development, research
Employer & Industry UsageTech companies, AI firms, startupsTech, finance, healthcare, research institutions
Common Search & ComparisonYesYes

The main difference is that a Manager Remote Machine Learning oversees ML projects and teams remotely, focusing on leadership and strategy, while a Data Scientist primarily conducts data analysis and model development. Managers handle project management and team coordination, whereas Data Scientists focus on technical implementation and research.

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 are popular job titles related to Manager Remote Machine Learning jobs in Austin, TX? For Manager Remote Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Manager Remote Machine Learning jobs in Austin, TX look for? The top searched job categories for Manager Remote Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Manager Remote Machine Learning jobs? Cities near Austin, TX with the most Manager Remote Machine Learning job openings:
Manager Remote Machine Learning jobs near you
Corporate Attorney - AI Reviewer - Remote

Corporate Attorney - AI Reviewer - Remote

micro1 AI

Round Rock, TX • Remote

$100 - $150/hr

Part-time

Posted 23 days ago

Job description

Job Title: Attorney

Job Type: Contract

Location: Remote


Job Summary: 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.


Key Responsibilities

  1. Design and implement robust legal rubrics for use in AI-driven document review and analysis processes.
  2. Conduct in-depth legal research and draft complex memoranda to guide AI model training and evaluation.
  3. Analyze large volumes of litigation documents to identify issues, trends, and data points vital for AI improvement.
  4. Collaborate with cross-functional teams to translate legal insights into actionable requirements for AI development.
  5. Oversee the quality and accuracy of AI outputs, providing feedback to enhance discovery management and motion practice capabilities.
  6. Develop case strategies and motion practice templates that inform machine learning models in legal contexts.
  7. Continuously review and refine rubric criteria to align with evolving legal standards and best practices.


Required Skills and Qualifications

  1. Juris Doctor (JD) degree and active bar membership.
  2. Active bar admission in at least one U.S. jurisdiction
  3. Minimum 5 years of litigation experience, with a strong track record managing document-intensive cases through discovery and dispositive motions.
  4. Exceptional legal research, writing, and analytical abilities, with particular skill in issue spotting and document analysis.
  5. Demonstrated expertise in case strategy development and motion practice.
  6. Proven ability to manage discovery processes and oversee complex legal document review projects.
  7. Outstanding written and verbal communication skills, with meticulous attention to detail.
  8. Technological acumen and comfort working in remote, digital-first environments.


Preferred Qualifications

  1. Law Review or Journal Editorial Experience, including substantive editing, cite-checking, and publication review of scholarly legal articles is highly prefered.

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