ZipRecruiter

Log In

2

Entry Level Ai Data Annotation Jobs in Nevada (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Las Vegas, NV · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal

Pwc

AI Engineer

Las Vegas, NV · On-site

$55K - $187K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level Senior Associate Job Description & Summary The Opportunity As an AI Engineer, you will be at the forefront

Aston Carter

Customer Service Representative

Reno, NV · On-site

$18 - $19/hr

Description The Customer Service Representative supports the Customer Service Supervisor and department in the performance of daily activities which including but are not limited to creating and

Aston Carter

Customer Service Representative

Reno, NV · On-site

$18 - $19/hr

Description The Customer Service Representative supports the Customer Service Supervisor and department in the performance of daily activities which including but are not limited to creating and

next page

Showing results 1-20

All JobsAi Data Annotation JobsEntry Level Ai Data Annotation JobsEntry Level Ai Data Annotation Jobs in Nevada

Entry Level Ai Data Annotation information

What is an entry level AI data annotation?

An Entry Level AI Data Annotation job involves labeling and categorizing data such as images, text, audio, or video to help train artificial intelligence (AI) and machine learning models. Annotators follow specific guidelines to tag data accurately, ensuring that AI systems learn to recognize patterns correctly. These positions typically require attention to detail, basic computer skills, and the ability to follow instructions. No advanced technical knowledge is usually required, making it a great way to start a career in the AI or tech industry.

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

To thrive as an Entry Level AI Data Annotation Specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with data labeling platforms, annotation tools, and spreadsheet software is often expected. Strong organizational skills, focus, and the ability to work independently help individuals excel in this role. These skills ensure accurate and efficient data labeling, which is crucial for developing reliable AI and machine learning models.

What are some common challenges faced by entry level AI data annotation specialists, and how can they be addressed?

Entry-level AI data annotation specialists often encounter challenges such as maintaining consistency and accuracy while labeling large volumes of data, understanding nuanced instructions, and adapting to changing project requirements. These challenges can be addressed by actively seeking clarification from team leads, participating in training sessions, and regularly reviewing annotation guidelines. Collaborating with teammates and using quality assurance feedback also helps improve accuracy and ensures alignment with project standards.

What are the most commonly searched types of Ai Data Annotation jobs in Nevada?

The most popular types of Ai Data Annotation jobs in Nevada are:

What are popular job titles related to Entry Level Ai Data Annotation jobs in Nevada?

For Entry Level Ai Data Annotation jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Data Annotation jobs in Nevada look for?

The top searched job categories for Entry Level Ai Data Annotation jobs in Nevada are:

What cities in Nevada are hiring for Entry Level Ai Data Annotation jobs?

Cities in Nevada with the most Entry Level Ai Data Annotation job openings:

Entry Level Ai Data Annotation jobs near you
Infographic showing various Entry Level Ai Data Annotation job openings in Nevada as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Process Associate

Reno, NV

HCL Technologies Limited
IT Services • 10K+ employees
Learn more about HCL Technologies Limitedexternal

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

New

Job description

Job Summary

Work Location : Reno - USA 
Working Hours: Mon – Friday (8am-5pm / 9am-6pm) 
Type of Employment : FTE 

Summary 
As an Annotation Associate, you will be responsible for manually annotating and labeling data items for our client in the Data Annotation space. This role includes supporting various streams that are part of the team/project. You will provide day-to-day support to the project leads and the teams, ensuring the accuracy and reliability of data sets. 

Key Responsibilities

Responsibilities: 
• Manually annotate and label data items. 
• Verify the accuracy and reliability of data sets. 
• Create targeted sets to evaluate and improve judgment quality. 
• Annotate search results based on how well they satisfy user needs. 
• Verify annotated data and correct any errors. 
• Maintain records of completed work. 
• Ensure consistency in data annotation. 
• Provide feedback to improve data annotation processes. 
• Collaborate with team members to meet project objectives. 
• Analyze test results to identify areas of weakness and make recommendations for improvement. 

Skill Requirements

Qualifications: 
• A bachelor’s or master’s degree. 
• Open to fresh graduate with required languages proficiency. 
• Proficient in English communication skills. 
• Experience with data labeling and categorizing. 
• A keen eye for detail to ensure accuracy in annotation. 
• Strong research skills to analyze the possible intents behind user search queries. 
• Ability to manage time effectively and meet deadlines. 
• Ability to analyze data and follow complex instructions. 
• Ability to aggregate and analyze data in Excel. 
• Experience with data labeling and categorizing. 
• Listening to content and transcribing the content (Listening, Speaking, Reading, Writing). 
• Understanding of the domain relevant to the annotation project (Ex: Audio, Text annotation, speech recognition, Natural language Processing is preferred.  
• Experience with annotation tools and platforms is preferred.

Other Requirements

Resources will be conducting Data Labelling/Annotation for AI Machine Learning. They will be helping with the accuracy in how AI transcribes audio to text.  


Our benefits come standard, with FULL Medical/Vision/Dental/401K/FSA/Ancillary Plans.  We do offer additional benefits to our employees such as Tuition Reimbursement, Employee Assistance Program, Employee Discount Center, and more.