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Entry Level Remote Machine Learning Jobs in Blanco, TX

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote work environment * Opportunities for professional growth and leadership Qualifications ... At Integrity FEX, we believe success comes from consistent effort, continuous learning, and helping ...

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In just 10-14 days our professionals are licensed, learning core fundamentals and simple, real ... The work is remote (flexible schedule part/full-time) in the immense and lucrative financial ...

... and remote roles. Cornelis Networks is seeking anAI Platform Engineerto help shape how our ... A background in machine-learning research or training large language models is not required. The ...

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Entry Level Remote Machine Learning information

See Blanco, TX salary details

$11

$15

$19

How much do entry level remote machine learning jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for entry level remote machine learning in Blanco, TX is $15.88, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $17.26 per hour, depending on experience, location, and employer.

How to get into entry level remote machine learning with no experience?

To start an entry-level remote machine learning role with no experience, focus on building foundational skills in programming languages like Python, learn key concepts such as data preprocessing and model training, and complete online courses or certifications in machine learning. Gaining practical experience through personal projects, participating in competitions, and creating a portfolio can also improve your chances of landing an entry-level position.

What is the difference between Entry Level Remote Machine Learning vs Entry Level Remote Data Science?

AspectEntry Level Remote Machine LearningEntry Level Remote Data Science
Required CredentialsBachelor's in CS, Math, or related; familiarity with ML frameworksBachelor's in CS, Statistics, or related; knowledge of data analysis tools
Work EnvironmentRemote, collaborative teams, coding-focusedRemote, data analysis, reporting, and visualization tasks
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

Entry Level Remote Machine Learning roles focus on developing algorithms and models using programming skills, while Entry Level Remote Data Science positions emphasize analyzing data, creating reports, and deriving insights. Both roles often require similar educational backgrounds and are common in tech-driven industries, but they differ in daily tasks and focus areas.

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

The top searched job categories for Entry Level Remote Machine Learning jobs in Blanco, TX are:

What cities near Blanco, TX are hiring for Entry Level Remote Machine Learning jobs?

Cities near Blanco, TX with the most Entry Level Remote Machine Learning job openings:

Infographic showing various Entry Level Remote Machine Learning job openings in Blanco, TX as of August 2026, with employment types broken down into 6% Internship, 67% Full Time, 15% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $33,037 per year, or $15.9 per hour.

Technical Content Expert - Advanced Engineering

micro1 AI

Austin, TX • Remote

$80 - $90/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact 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 — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions