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Entry Level Ai Researcher Jobs (NOW HIRING)

Atonom

Associate AI Operations

Provo, UT · On-site

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Not research papers. Production agents that generate measurable ROI for real businesses.

Atonom

Associate AI Operations

Provo, UT · On-site

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Not research papers. Production agents that generate measurable ROI for real businesses.

Atonom

Associate AI Operations

Provo, UT · On-site

$50K - $90K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Not research papers. Production agents that generate measurable ROI for real businesses.

University of Utah

Research Technicians

Campus, IL · On-site

$9.45 - $21.69/hr

We develop software tools to identify novel hormones and receptors by running AI models (e.g ... This is an Entry-Level position in the Support track. Job Code: S56441 Grade: S12 Expected Pay ...

University of Utah

Research Technicians

Campus, IL · On-site

$9.45 - $21.69/hr

We develop software tools to identify novel hormones and receptors by running AI models (e.g ... This is an Entry-Level position in the Support track. Job Code: S56441 Grade: S12 Expected Pay ...

University of Utah

Research Technicians

Campus, IL

$9.45 - $21.69/hr

We develop software tools to identify novel hormones and receptors by running AI models (e.g ... This is an Entry-Level position in the Support track. Job Code: S56441 Grade: S12 Expected Pay ...

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Entry Level Ai Researcher information

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$113.1K

$164.5K

How much do entry level ai researcher jobs pay per year?

As of Aug 13, 2026, the average yearly pay for entry level ai researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What does an entry level AI researcher do?

An Entry Level AI Researcher assists in developing and testing artificial intelligence models and algorithms. They typically work under the guidance of senior researchers, helping to collect and preprocess data, run experiments, and analyze results. Their tasks often include literature reviews, coding in languages like Python, and collaborating with teams to solve complex problems. This role provides a foundation for advancing to more specialized AI research positions.

What are the key skills and qualifications needed to thrive as an entry level AI researcher?

To thrive as an Entry Level AI Researcher, a strong background in mathematics, programming (Python or similar), and machine learning concepts—often supported by a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and experience using version control systems such as Git are typically required. Analytical thinking, curiosity, and effective communication help researchers collaborate, learn quickly, and present findings clearly. These skills ensure the ability to contribute to innovative AI projects, solve complex problems, and work effectively within research teams.

What is the most entry-level AI researcher job?

An entry-level AI researcher position typically involves assisting with data collection, model training, and algorithm development under supervision. These roles often require a bachelor's degree in computer science, data science, or related fields, and familiarity with programming languages like Python and machine learning frameworks such as TensorFlow or PyTorch.

What are the most common challenges faced by entry level AI researchers when starting in the field?

Entry-level AI researchers often encounter challenges such as keeping up with the rapid pace of advancements in artificial intelligence, understanding complex mathematical concepts, and navigating large codebases or research papers. Adjusting to collaborative team dynamics, especially in interdisciplinary environments, can also be challenging. However, many organizations provide mentorship, regular knowledge-sharing sessions, and hands-on projects to help newcomers acclimate and grow their skills.

What is the difference between Entry Level Ai Researcher vs Data Scientist?

AspectEntry Level Ai ResearcherData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related field; some internships
Work EnvironmentResearch labs, tech companies, academiaBusiness environments, tech firms, consulting
Industry UsageDeveloping AI models, research projectsAnalyzing data, building predictive models
Common Search IntentEntry level AI research roles, AI research jobsData analysis roles, data science jobs

Entry Level Ai Researcher and Data Scientist roles often require similar educational backgrounds and work in tech or research environments. However, AI Researchers focus more on developing and advancing AI algorithms, while Data Scientists analyze data to inform business decisions. Both roles are in high demand and serve different but overlapping functions within the tech industry.

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What are the most commonly searched types of Ai Researcher jobs?

The most popular types of Ai Researcher jobs are:

What states have the most Entry Level Ai Researcher jobs?

States with the most job openings for Entry Level Ai Researcher jobs include:

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The top searched job categories for Entry Level Ai Researcher jobs are:

Entry Level Ai Researcher jobs near you
Infographic showing various Entry Level Ai Researcher job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Associate AI Operations

Atonom

Provo, UT • On-site

Full-time

Medical, PTO

Re-posted 18 days ago

Job description

Associate AI Operations

Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 – $90,000 | Entry-Level / 0–2 Years

ABOUT ATONOM

Atonom.ai builds Cloud Employees: intelligent AI agents that execute complex work across Sales, Marketing, Support, and HR. We believe growth should be limited by ambition, not headcount. We move beyond simple automation to genuine autonomy, empowering businesses to scale instantly. Join us as we build the infrastructure for the next generation of work.

THE ROLE

As a Associate AI Operations, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly, work directly with clients, and see the impact of your work from day one. You don't need years of experience. You need curiosity, technical aptitude, and the drive to figure things out.

WHAT YOU'LL DO

  • Help monitor, maintain, and optimize deployed AI Cloud Employees across the customer base.
  • Join client calls to understand operational needs and translate them into AI workflow configurations, including prompt tuning, automation logic, and QA checks.
  • Troubleshoot operational issues with guidance from senior team members. Dig into logs, spot failure patterns, and help resolve problems quickly.
  • Document operational procedures, build runbooks, and contribute to internal knowledge bases.
  • Share product feedback with Engineering and Product teams, including reliability trends, performance gaps, and customer pain points.

WHO YOU ARE

  • Recent graduate (or soon to be) in Computer Science, Information Systems, Business Analytics, Operations Research, or a related field. Self-taught candidates with relevant experience are also welcome.
  • Operationally minded. You like understanding how systems work end-to-end and figuring out how to make them run more smoothly.
  • Interested in LLMs and prompt engineering. You've gone beyond basic usage and started exploring how AI performs in real-world workflows.
  • A strong communicator who can translate operational findings and technical details into language that non-technical audiences understand.
  • Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous situations.

YOUR FIRST 90 DAYS

  • Month 1: Learn the Atonom platform inside and out. Shadow senior team members on client calls and implementations. Get certified on internal tooling.
  • Month 2: Take ownership of your first customer implementations with senior support. Begin contributing to internal documentation and playbooks.
  • Month 3: Run implementations with increasing independence. Present learnings and customer pain points to the Product team.

TECHNICAL SKILLS (NICE TO HAVE)

  • Exposure to workflow automation tools (Zapier, Make, or similar).
  • Basic understanding of APIs, webhooks, or data integrations.
  • Familiarity with SQL, Python, or JavaScript.
  • Experience with CRMs like Salesforce or HubSpot.
  • Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional).

WHY JOIN

  • Real AI work. Not research papers. Production agents that generate measurable ROI for real businesses.
  • Mentorship built in. Learn from experienced specialists who invest in your growth.
  • Career velocity. High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.
  • Impact from day one. Small team, fast shipping, your contributions matter immediately.

BENEFITS

  • PTO accrual starts on day one.
  • Competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary.