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Entry Level Google Gemini Jobs (NOW HIRING)

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

... Gemini Robotics), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users ... This is an entry-level research role for individuals with less than 3 years of research experience ...

$70 - $80/hr

... B entry-level partners as well as identifying and securing enterprise partnerships. * Market ... Google Suite and Gemini. * Adaptability: Proven ability to juggle multiple projects at once while ...

New

$70 - $80/hr

... B entry-level partners as well as identifying and securing enterprise partnerships. * Market ... Google Suite and Gemini. * Adaptability: Proven ability to juggle multiple projects at once while ...

Order Fulfillment Specialist

Indianapolis, IN · Hybrid

$15.75 - $20.75/hr

... Entry-level opportunity with significant complexity and a strong focus on customer service ... Tableau and Google Workspace. * Comfortable using AI tools such as Gemini is a plus. * Strong ...

New

Showing results 41-54

Entry Level Google Gemini information

See salary details

$25K

$47.8K

$68.5K

How much do entry level google gemini jobs pay per year?

As of Sep 6, 2026, the average yearly pay for entry level google gemini in the United States is $47,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Google Gemini vs Data Analyst?

AspectEntry Level Google GeminiData Analyst
Required CredentialsBachelor's degree in related field, basic technical skillsBachelor's degree in statistics, data science, or related field
Work EnvironmentTech companies, collaborative teams, office or remoteCorporate, consulting firms, or tech companies, team-based
Employer & Industry UsagePrimarily in tech and digital marketing sectorsAcross various industries including finance, healthcare, and tech
Common Search & ComparisonYesYes

Entry Level Google Gemini roles typically focus on supporting AI and machine learning projects within tech companies, requiring basic technical skills and a relevant degree. Data Analyst positions involve analyzing data to inform business decisions across multiple industries, often requiring similar educational backgrounds. While both roles involve working with data and technology, Google Gemini roles are more specialized in AI support, whereas Data Analysts focus on data interpretation and reporting.

Does Entry Level Google Gemini offer remote positions?

Entry Level Google Gemini positions are typically offered as remote roles, allowing candidates to work from home. These roles often require familiarity with digital tools and communication platforms, and remote work arrangements depend on the company's current policies and job requirements.
More about Entry Level Google Gemini jobs

What cities are hiring for Entry Level Google Gemini jobs?

Cities with the most Entry Level Google Gemini job openings:

What are the most commonly searched types of Google Gemini jobs?

The most popular types of Google Gemini jobs are:

Infographic showing various Entry Level Google Gemini job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $47,831 per year, or $23 per hour.

Learning & Development Technologist

Moss Utilities

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

At Moss Utilities, we specialize in underground utility installations across the DFW Metroplex. Our project experience includes commercial, single-family residential, multi-family residential, and public works infrastructure.

Founded in 2016, Moss Utilities carries forward a family legacy in Dallas-Fort Worth utility construction dating back to the early 1900s. As an Employee-Owned company (ESOP), evert team member has a stake in our shared success and the future we're building together.

Learning & Development Technologist

Position Overview

Moss Utilities is seeking a tech-minded L&D Technologist to join our Learning & Development team. This entry-level role is designed for a Computer Science, Information Technology, or related technical graduate with a focus on Artificial Intelligence or Data Analytics.

In this position, you will leverage AI tools, data analytics, and digital learning systems to support workforce training and operational enablement at Moss Utilities. You will help create training content, analyze employee performance, administer our Learning Management System (LMS), and support technology adoption across our field teams.

You will also assist with heavy equipment simulator training, providing basic technical support during operator training sessions.

Responsibilities

Applied AI & Learning Content Creation

  • Use Generative AI tools such as Claude, Gemini, and Google LM to create training materials.
  • Convert utility blueprints, OSHA standards, and equipment manuals into study guides, flashcards, quizzes, and other learning resources.
  • Assist with internal AI knowledge tools for Moss Utilities field personnel.
  • Use basic scripting and AI tools to automate routine L&D tasks.

Learning Analytics & Skill Tracking

  • Analyze employee performance, assessment results, and training progress.
  • Process training data and create skill gap reports.
  • Identify trends and provide insights to L&D leadership.
  • Build dashboards and visualizations connecting training, safety, and productivity metrics.

AI & Field Technology Enablement

  • Serve as an AI champion for Moss Utilities field supervisors, superintendents, and employees.
  • Help non-technical employees understand and use digital tools and AI applications.
  • Administer the LMS, including user enrollment, tracking, and digital records.
  • Support technology adoption across Moss Utilities field operations.

Simulator Lab Support & Operations

  • Support setup and basic maintenance of CM Labs heavy equipment simulators.
  • Assist trainers during excavator and backhoe simulator sessions.
  • Operate vendor-provided software and training modules.
  • Record trainee results and provide basic technical support.

Qualifications

Required

  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related technical field.
  • Coursework or concentration in Artificial Intelligence or Data Analytics.
  • 0-2 years of experience; internships, academic projects, and capstone experience are welcome.
  • Programming or scripting experience for data processing.
  • Experience using Generative AI tools and prompt engineering.
  • Strong communication and problem-solving skills.
  • Comfortable working directly with field crews and supervisors.
  • Bilingual English/Spanish.

Preferred

  • Experience with LMS platforms or digital database systems.
  • Experience creating dashboards or data visualizations.
  • Experience with Python or similar programming languages.
  • Interest in adult learning, workforce development, or educational technology.
  • Experience supporting technology in a field or construction environment.

What You Get from Working at Moss

  • An incredible culture built on our core values.
  • Competitive pay and solid benefits.
  • Onsite amenities include fitness center, basketball and pickleball courts, and personal training.
  • Opportunities for professional growth and long-term career development.
  • Employee Ownership, as an ESOP company, your hard work directly contributes to the value you build.

Benefits offered:

  • Medical, dental, and vision coverage.
  • Life insurance, short-term disability, accident & critical illness plans.
  • Multiple health plan options.
  • 401(k) with company match.
  • Paid time off and paid holidays.
  • Employee ownership through our ESOP program.

We are an Equal Opportunity Employer Committed to maintaining a Drug-Free Workplace. We participate in E-Verify, and all applicants must be legally authorized to work in the United States