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Ai Research Assistant Jobs in Spring, TX (NOW HIRING)

micro1 AI

Senior Scientific Reviewer - Physics

Houston, TX · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

micro1 AI

Senior Scientific Reviewer - Physics

Conroe, TX · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

NobleAI

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will work with Sales, Product, and AI/Research teams to understand and meet customer needs, demonstrate in-depth knowledge of our products to prospective clients, and assist in selling ...

NobleAI

Solutions Engineer

Houston, TX · Remote

$200K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will work with Sales, Product, and AI/Research teams to understand and meet customer needs, demonstrate in-depth knowledge of our products to prospective clients, and assist in selling ...

NobleAI

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will work with Sales, Product, and AI/Research teams to understand and meet customer needs, demonstrate in-depth knowledge of our products to prospective clients, and assist in selling ...

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All JobsAi Research JobsAi Research Assistant JobsAi Research Assistant Jobs in Spring, TX

Ai Research Assistant information

See Spring, TX salary details

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How much do ai research assistant jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ai research assistant in Spring, TX is $19.50, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $22.69 per hour, depending on experience, location, and employer.

What is an AI Research Assistant?

An AI Research Assistant is a professional who supports artificial intelligence research projects by performing tasks such as data collection, literature reviews, running experiments, and analyzing results. They often work alongside AI researchers and engineers to help develop new algorithms, models, or applications in machine learning and related fields. The role may involve programming, using statistical tools, and staying updated on the latest advancements in AI. AI Research Assistants are commonly found in academic, corporate, or research lab environments. Their work is crucial for advancing the field and supporting innovation in AI.

What are some common challenges faced by AI Research Assistants when working on collaborative projects?

AI Research Assistants often collaborate with multidisciplinary teams, including data scientists, software engineers, and senior researchers. One common challenge is ensuring clear communication of complex technical findings to team members with varying expertise. Balancing multiple projects with competing deadlines can also be demanding, requiring strong organizational skills. Additionally, rapidly evolving research topics may necessitate frequent upskilling and adaptability to new tools and methodologies.

What are the key skills and qualifications needed to thrive as an AI Research Assistant, and why are they important?

To thrive as an AI Research Assistant, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or coursework. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and experience using data analysis tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with research teams and interpret complex results. These skills are essential for contributing to innovative AI projects, ensuring accurate research outcomes, and supporting the advancement of artificial intelligence.

What is the difference between Ai Research Assistant vs Data Scientist?

AspectAi Research AssistantData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, AI development teams, academic settingsBusiness, tech companies, analytics teams
Industry UsageAI research projects, academic research, R&D departmentsData analysis, predictive modeling, business insights
Common Search IntentUnderstanding AI research roles, entry-level AI research jobsData analysis careers, data-driven decision making

While both roles involve working with data and algorithms, an Ai Research Assistant primarily supports AI research projects, focusing on developing and testing AI models. A Data Scientist, on the other hand, analyzes data to generate insights and inform business decisions. The roles often overlap in skills and credentials but differ in their core focus and work environment.

How much do AI research assistants make?

AI research assistants typically earn between $50,000 and $90,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while those with advanced skills in machine learning and data analysis can earn higher salaries, often with opportunities for growth in research environments or tech companies.

How to become an AI research assistant?

To become an AI research assistant, candidates typically need a strong background in computer science, mathematics, or related fields, often holding a bachelor's or master's degree. Skills in programming languages like Python, experience with machine learning frameworks, and familiarity with research methodologies are essential. Gaining experience through internships, academic projects, or contributing to research papers can improve prospects in this role.

What are the most commonly searched types of Ai Research jobs in Spring, TX?

The most popular types of Ai Research jobs in Spring, TX are:

What are popular job titles related to Ai Research Assistant jobs in Spring, TX?

For Ai Research Assistant jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Ai Research Assistant jobs in Spring, TX look for?

The top searched job categories for Ai Research Assistant jobs in Spring, TX are:

What cities near Spring, TX are hiring for Ai Research Assistant jobs?

Cities near Spring, TX with the most Ai Research Assistant job openings:

Ai Research Assistant jobs near you
Infographic showing various Ai Research Assistant job openings in Spring, TX as of August 2026, with employment types broken down into 2% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $40,553 per year, or $19.5 per hour.

Physics Content Evaluator (LaTeX/Python)

micro1 AI

Houston, TX • On-site, Remote

$80 - $150/hr

Part-time

Posted 15 days ago

Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. 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. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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