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Entry Level Data Annotation Jobs (NOW HIRING)

Aerotek

Data Labeling Specialist

San Jose, CA

$30/hr

Seeking entry level data specialists/IT for a robotics/AI company. Fresh graduates are encouraged to apply. Responsibilities * Use proprietary annotation tools to label objects, poses, and ...

Aerotek

Data Labeling Specialist

San Jose, CA

$30/hr

Seeking entry level data specialists/IT for a robotics/AI company. Fresh graduates are encouraged to apply. Responsibilities * Use proprietary annotation tools to label objects, poses, and ...

Jobgether

Experience in data collection, data annotation, AI data projects, or similar freelance work is ... Flexible workload that allows you to work at your own pace. * Entry-level opportunity with ...

New

Jobgether

$15.50 - $20/hr

... and overall data quality across multiple languages. Working independently while following ... Perform annotation tasks according to project-specific guidelines and quality standards. * Follow ...

New

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Entry Level Data Annotation information

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How much do entry level data annotation jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for entry level data annotation in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of someone in an Entry Level Data Annotation role?

As an Entry Level Data Annotation specialist, your daily responsibilities often include reviewing and labeling images, text, audio files, or other data according to specific guidelines provided by the project. You may be required to use specialized software platforms and regularly meet quality and productivity targets. Working independently is common, but you'll also collaborate with team leads or quality assurance personnel for feedback and clarification. Over time, you'll gain exposure to different types of data projects, enhancing your understanding of machine learning workflows and potentially opening up paths to more advanced roles in data operations.

Can you work for data annotation with no experience?

Entry level data annotation jobs typically do not require prior experience, as training is often provided to teach skills like image or text labeling using annotation tools. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. However, some roles may prefer familiarity with specific software or data types.

What are the key skills and qualifications needed to thrive in the Entry Level Data Annotation position, and why are they important?

To thrive as an Entry Level Data Annotation professional, you need strong attention to detail, basic computer literacy, and the ability to consistently follow guidelines. Familiarity with annotation platforms, data labeling software, or basic spreadsheet tools is often required but full technical certification is not usually necessary for entry-level positions. Effective communication, reliability, and patience are valuable soft skills that help individuals excel in this meticulous role. These skills ensure high-quality, accurate data labeling, which is critical for the development and success of machine learning and AI projects.

Does data annotation actually pay?

Data annotation jobs, including entry-level roles, typically pay hourly or per task rates that can range from minimum wage to higher amounts depending on complexity and platform. Many companies offer remote work with flexible schedules, and payment is usually processed weekly or biweekly. Earnings can vary based on experience, accuracy, and the tools used for annotation.

Is it hard to get hired for data annotation?

Entry level data annotation jobs generally have low barriers to entry and do not require advanced degrees, but they often require attention to detail and basic computer skills. Competition can vary depending on the platform and demand, but many companies offer remote and flexible opportunities that are accessible to beginners. Building familiarity with annotation tools and following instructions carefully can improve chances of getting hired.

What is an Entry Level Data Annotation job?

An Entry Level Data Annotation job involves labeling, tagging, and categorizing data such as images, text, audio, or video to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in the dataset. This role often requires attention to detail and the ability to recognize patterns. No prior experience is usually needed, but familiarity with basic computer skills and data labeling tools can be helpful.

How to start a data annotation job?

To start a data annotation job, you should first acquire basic knowledge of annotation tools and techniques, such as labeling images, text, or audio data. Many companies require familiarity with platforms like Labelbox, CVAT, or Amazon Mechanical Turk, and some may ask for a simple test or sample annotation to demonstrate your skills. Having attention to detail and understanding project guidelines are essential for success in entry-level data annotation roles.
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Entry Level Data Annotation jobs near you
Infographic showing various Entry Level Data Annotation job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

LLM Business Analysts - US only

Gramian Consulting Group

Remote

$10/hr

Contractor

Posted 6 days ago

New

Job description

About Us
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role overview
We are looking for detail-oriented professionals based in the United States to support AI model improvement through high-quality data review, annotation, classification, and validation. This is a short-term remote contract opportunity for candidates who can follow detailed guidelines, make consistent decisions, and maintain strong accuracy across repetitive review tasks.
In this role, you will work on structured AI data tasks used to train and evaluate advanced language models. The work is best suited for candidates with experience in data annotation, content review, quality assurance, operations, or similar analytical work.
CONTRACT: Short-term freelance/contractor assignment
COMMITMENT: 40 hours per week, at least 4 hours per day, including 4 hours overlap with PST
HOURLY RATE: $10/h
LOCATIONS: Remote, Alabama, Arizona, Colorado, Florida, Idaho, Iowa, Kentucky, Michigan, Minnesota, Mississippi, Missouri, Montana, New York, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, South Dakota, Texas, Virginia, Wisconsin, Wyoming
PROCESS: 60min Aptitude Online Test
NOTES: Candidates must be currently based in the United States. Applications from outside the US cannot be considered.
Responsibilities
  • Review, label, classify, and validate data according to detailed project guidelines
  • Ensure accuracy, consistency, and quality across assigned tasks
  • Apply instructions objectively when evaluating or categorizing content
  • Identify edge cases, discrepancies, and annotation issues
  • Escalate unclear or inconsistent cases when needed
  • Perform quality checks and provide clear feedback where required
  • Meet productivity and quality expectations in a remote work environment
  • Work independently while following project standards and timelines

Requirements
  • Minimum 2 years of professional experience in an analytical, operational, QA, review, or similar role
  • Strong English reading, writing, and comprehension skills
  • Ability to follow detailed guidelines and apply them consistently
  • Basic proficiency with Google Workspace or Microsoft Office
  • Prior experience in data annotation, content review, quality assurance, or similar work
  • Availability to work 40 hours per week for 3-4 weeks
  • Reliable desktop or laptop setup with a stable internet connection

Apply