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Entry Level Ai Analyst Jobs (NOW HIRING)

BRM.ai

Entry Level Software Engineer

San Francisco, CA · On-site

... AI-driven solutions. You'll work alongside experienced engineers to revolutionize the inbox ... Analytical thinking skills with attention to detail and a systematic approach to debugging Nice to ...

DataAnnotation

$40/hr

A legal analytics company is seeking an entry-level contractor to evaluate AI chatbot outputs for diverse legal problems. Candidates must be fluent in English and have a completed or in-progress law ...

DataAnnotation

Treasury Analyst

California, MO · Remote

$50 - $60/hr

Get AI-powered advice on this job and more exclusive features. We are looking for a Treasury ... Seniority level Entry level Employment type Full-time Job function Finance and Sales Industries ...

DataAnnotation

Credit Analyst

Sioux Falls, SD · Remote

$50 - $60/hr

We are looking for a Credit Analyst to join our team to train AI models. You will measure the ... Seniority level Entry level Employment type Full‐time Job function Finance and Sales Industries ...

DataAnnotation

Actuarial Analyst

Annapolis, MD · Remote

$50 - $60/hr

You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to ... Job Details Seniority level: Entry level. Employment type: Full-time. Job function: Finance and ...

DataAnnotation

Accounting Analyst

Bismarck, ND · Remote

$40/hr

You will measure the progress of AI chatbots, evaluate their logic, and solve problems to improve ... Seniority level Entry level Employment type Full-time Job function Accounting/Auditing and Finance ...

mavQ

Business Analyst - Entry Level

Schenectady, NY · On-site

$58K/yr

AI experience or background * Process mapping and functional requirement documentation experience ... analysis, or solution architecture. * A collaborative environment that values curiosity, ownership ...

DataAnnotation

Actuarial Analyst

Little Rock, AR · Remote

$50 - $60/hr

We are seeking an Actuarial Analyst to join our team to train AI models. You will measure the ... Seniority level Entry level Employment type Full-time Job function Finance and Sales Industries ...

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How much do entry level ai analyst jobs pay per hour?

As of May 29, 2026, the average hourly pay for entry level ai analyst in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level AI Analyst, and why are they important?

To thrive as an Entry Level AI Analyst, you need foundational knowledge in data analysis, statistics, and basic programming, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as Python, SQL, machine learning libraries (like scikit-learn or TensorFlow), and data visualization platforms is often required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with team members. These skills and qualities are essential for accurately analyzing data, supporting AI initiatives, and contributing to business insights.

What types of projects can an Entry Level AI Analyst expect to work on, and how are these projects typically structured within a team?

As an Entry Level AI Analyst, you can expect to participate in projects such as data preprocessing, assisting with model training and evaluation, and generating reports on AI performance. These projects are often structured with guidance from senior analysts or data scientists, and you'll frequently collaborate with software engineers and product managers to align AI solutions with business goals. This role typically involves a mix of independent tasks and teamwork, providing exposure to the full machine learning workflow and opportunities to learn from more experienced colleagues.

What does an Entry Level AI Analyst do?

An Entry Level AI Analyst assists in collecting, processing, and analyzing data to support artificial intelligence (AI) projects. They help prepare datasets, run basic models, and interpret results under the guidance of senior team members. Their role often includes cleaning data, visualizing findings, and documenting analysis processes. This position is ideal for individuals starting their careers in AI and data science, providing foundational experience in machine learning and analytics.
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Entry Level Ai Analyst jobs near you
Early Career AI / Data Innovation Associate ( (Students & Recent Graduates))

Early Career AI / Data Innovation Associate ( (Students & Recent Graduates))

Inficare Technologies

Remote

$60.40K - $60.90K/yr

Part-time

Posted 15 days ago

Job description

Early Career AI / Data Innovation Associate (Part-Time, Remote - U.S.)
We are seeking early-career talent interested in gaining hands-on experience in AI, data analytics, and technology innovation. This opportunity is designed for students and recent graduates who want to apply their academic knowledge to real-world business initiatives.
This role is part of a structured early-career program that provides practical exposure to modern analytics tools, AI workflows, and cross-functional collaboration. Participants will work on real projects and present their outcomes in a final capstone presentation.
Location
Remote (United States)
Work Schedule
Part-time contract
8-20 hours per week
Compensation
Hourly rate based on experience
Work Authorization
Applicants must be legally authorized to work in the United States without employer sponsorship. Visa sponsorship is not available for this role.
Travel Requirement
One-time travel may be required for the final capstone presentation in Redmond, Washington (Seattle area). Travel expenses will be covered.
Program Overview
Participants will contribute to projects related to AI, analytics, and business innovation. The program provides an opportunity to work with experienced professionals while building practical skills in data analysis, technology research, and solution prototyping.
Key Responsibilities
Participants may work on projects involving:
  • Analyzing datasets to identify trends and insights
  • Supporting AI-driven workflows and automation initiatives
  • Building dashboards or reports using tools such as Excel or Power BI
  • Assisting with prototyping AI or data-driven solutions
  • Researching emerging technologies and innovation opportunities
  • Collaborating with cross-functional teams on project goals
  • Preparing presentations and insights for stakeholders
  • Participating in a final capstone presentation

Education Requirements
Candidates must be currently enrolled in or recently graduated from an IT or Computer Science related program.
Accepted fields of study include:
  • Computer Science
  • Information Technology
  • Software Engineering
  • Computer Engineering
  • Information Systems
  • Data Science
  • Artificial Intelligence / Machine Learning

Eligible candidates include:
  • Undergraduate students (Junior or Senior year)
  • Recent graduates within the past 12 months
  • Entry-level professionals with up to 2 years of experience

Preferred Skills
Candidates should have exposure to some of the following through coursework, projects, or internships:
  • Python, SQL, or other programming languages
  • Data analysis or visualization tools
  • Artificial Intelligence or Machine Learning concepts
  • Cloud platforms (experience with Microsoft Azure is a plus)
  • Microsoft ecosystem tools such as Teams, SharePoint, or Power BI
  • Basic understanding of automation or AI workflows

Core Competencies
Successful candidates will demonstrate:
  • Strong analytical and problem-solving skills
  • Clear communication and presentation abilities
  • Ability to work independently and manage tasks effectively
  • Curiosity and interest in emerging technologies
  • Attention to detail and accountability for deliverables

Ideal Candidate Profile
This program is ideal for individuals who want to:
  • Gain hands-on experience in AI and data-driven projects
  • Apply academic knowledge to real-world business challenges
  • Build practical skills in analytics and technology solutions
  • Work in a collaborative and innovation-focused environment
  • Develop experience presenting insights to stakeholders

Application Instructions
Interested candidates should submit a resume including:
  • Degree program and expected graduation date
  • Relevant coursework or projects related to AI, analytics, or software development
  • Any internships or technical experience
  • Qualified candidates will be contacted for further evaluation.

Apply