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Entry Level Data Annotation Jobs (NOW HIRING)

Welo Data

Remote Polish Search Analyst AI

Manhattan, NY · Remote

$8.75/hr

A data annotation company is seeking Polish speakers for an entry-level role in data annotation, helping enhance AI in e-commerce. The position is remote, allowing total flexibility in your schedule.

Rex USA

Entry Level STEM Jobs United States

Manhattan, NY · Remote

$30 - $50/hr

Entry Level STEM Jobs United States (Remote, US) Support AI/ML engineering-adjacent workflows that ... apply annotation guidelines compliance and structured documentation to strengthen training data ...

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

As of Jun 4, 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 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.

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.

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.
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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 May 2026, with employment types broken down into 100% Part Time. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

WFH AI Data Annotation Specialist - Freelance

TELUS Digital AI Data Solutions

Waipahu, HI • Remote

$6 - $18/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Overview Join to apply for the WFH AI Data Annotation Specialist - Freelance role at TELUS Digital AI Data Solutions . We're seeking detail-oriented freelancers to join a global AI data annotation project. As an AI Data Annotation Specialist, you'll annotate, label, and curate data that powers advanced machine learning models.

Your work—tagging images, labeling text, or collecting documents—will directly impact the accuracy and performance of AI systems used worldwide. Key Responsibilities Annotate & Label: Tag, categorize, and review text, images, and documents. Collect Data: Gather and organize high-quality datasets for AI training.

Ensure Quality: Review and validate data for precision and consistency. Collaborate Globally: Work with an international team to hit project milestones. Flexible Hours Work up to 10 hours per day, 40 hours per week—on your schedule.

Qualifications Strong attention to detail and ability to follow precise instructions. Reliable internet connection and ability to work independently. Prior experience in data annotation or labeling is a plus, but not required.

Basic understanding of AI or machine learning concepts is advantageous. Strong proficiency in English for clear communication and reporting. Assessment Complete an initial qualification assessment to demonstrate suitability for the role.

Provide ID verification for participation. Payment Freelance rates range from $6–$18 USD per hour, depending on experience, geographic location, and project requirements. Payment is competitive and reflects the value of your contributions to AI training projects.

Seniority level Entry level Employment type Part-time Job function Administrative Industries: IT Services and IT Consulting Get notified about new Data Annotator jobs in Waipahu, HI . #J-18808-Ljbffr

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