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Remote Machine Learning Finance Jobs in Austin, TX

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

New

YO AI Labs

AI Data Science Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

New

YO AI Labs

AI Data Scientist Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

New

Wsgr

Innovations and AI Solutions Engineer

Austin, TX · On-site +1

Design, build and implement machine learning models, including the development of AI Models and ... Aderant Financial System, Salesforce.com/CRM, NetDocs/DMS * Large Language Model Integration:

iCounter

Chief Product Officer (US- Remote)

Austin, TX · Remote

This is a critical leadership role that shapes how our customers - Fortune 500 companies, financial ... Expertise in leveraging machine learning and AI: understand model architecture, training data ...

iCounter

Chief Product Officer (US- Remote)

Austin, TX · On-site +1

$300K/yr

This is a critical leadership role that shapes how our customers - Fortune 500 companies, financial ... Expertise in leveraging machine learning and AI: understand model architecture, training data ...

Infinite Wise Solutions

Be Seen First

Financial Retirement Planning Professional - Remote

Austin, TX · Remote

$1.0K - $250K/yr

Coachable and committed to continuous learning * Entrepreneurial, self-directed, and accountable ... Financial Services * Insurance * Tax Preparation * Business Ownership * Mortgage Lending * Real ...

Meta

Trust Infrastructure Manager - Finance

Austin, TX · On-site +1

$182K/yr

You will represent finance in cross-functional governance platforms, provide technical design input ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

micro1 AI

AI Trainer - Microbiology Expert

Austin, TX · Remote

$70 - $90/hr

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.

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Showing results 21-40

All JobsMachine Learning Finance JobsRemote Machine Learning Finance JobsRemote Machine Learning Finance Jobs in Austin, TX

Remote Machine Learning Finance information

See Austin, TX salary details

$24.8K

$91.8K

$134.3K

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

As of Aug 15, 2026, the average yearly pay for remote machine learning finance in Austin, TX is $91,817.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $108,000.00 per year, depending on experience, location, and employer.

How do remote machine learning finance professionals typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

What are the key skills and qualifications needed to thrive as a remote machine learning finance professional?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

What is a remote machine learning finance professional?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.

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

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

What are popular job titles related to Remote Machine Learning Finance jobs in Austin, TX?

For Remote Machine Learning Finance jobs in Austin, TX, the most frequently searched job titles are:

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

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

Remote Machine Learning Finance jobs near you
Infographic showing various Remote Machine Learning Finance job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $91,817 per year, or $44.1 per hour.

AI Data Science Expert - Remote

YO AI Labs

Austin, TX • Remote

$100 - $200/hr

Part-time

Posted 3 days ago

New

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.