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Entry Level Ai Data Annotation Jobs (NOW HIRING)

... data annotation • Ability to leverage AI to help improve productivity Company : Sunday is a robotics and artificial intelligence company that develops an autonomous home robot to assist with ...

As a Data Annotation Specialist, you will be pivotal in iterating on our AI system by annotating data on various tasks performed by robots, directly influencing the performance of robotic arms.

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q ... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ...

AI Data Software Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Tiki AI provides end-to-end data annotation and intelligence solutions that transform raw information into high-quality, actionable datasets. Founded in , the company is headquartered in San ...

About Teleskope Teleskope is redefining data security for the AI era with the only dedicated ... You'll use Python, SQL, and agentic development tools to make annotation and QC faster, more ...

New

Technical Program Manager, Data Engine

Redwood City, CA · On-site

$157K - $204K/yr

... AI labs/data vendors • Technical skills to build tools for data annotation or collection • Ability to leverage AI to help improve productivity Company : Sunday is a robotics and artificial ...

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

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Entry Level Ai Data Annotation information

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

As of Jul 22, 2026, the average hourly pay for entry level ai 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 AI Data Annotation job?

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 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 key skills and qualifications needed to thrive as an Entry Level AI Data Annotation Specialist, and why are they important?

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.
More about Entry Level Ai Data Annotation jobs
What cities are hiring for Entry Level Ai Data Annotation jobs? Cities with the most Entry Level Ai Data Annotation job openings:
What are the most commonly searched types of Ai Data Annotation jobs? The most popular types of Ai Data Annotation jobs are:
What states have the most Entry Level Ai Data Annotation jobs? States with the most job openings for Entry Level Ai Data Annotation jobs include:
Infographic showing various Entry Level Ai Data Annotation job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.
Data Annotation Lead

Data Annotation Lead

Sunday

Redwood City, CA • On-site

Full-time

Posted 16 days ago


Job description

Job Summary:
Sunday is developing personal robots to reclaim the hours lost to repetitive tasks, and they are seeking a Data Annotations Lead to build and lead an in-house data annotation team. This role involves managing the people side of data annotations, creating processes, and ensuring quality in data annotation efforts.
Responsibilities:
• Build a data annotation team
• Manage the people side of data annotations
• Create documentation
• Be in the weeds and annotate data yourself anytime something new is being designed
• Create data annotation processes
Qualifications:
Required:
• Clear written and verbal communication to guide our data annotators
• Your ability to manage unexpected challenges
• Your ownership of key stakeholders with data annotators, engineering, and support
• Excitement for the growth and development of data annotation
• Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner
• A level of hardcore-ness while still treating people like people
• Intermediate level understanding of ML
Preferred:
• Previous experience leading data annotation teams
• Technical skills to build tools for data annotation
• Ability to leverage AI to help improve productivity
Company:
Sunday is a robotics and artificial intelligence company that develops an autonomous home robot to assist with household tasks. Founded in 2024, the company is headquartered in Mountain View, USA, with a team of 51-200 employees. The company is currently Early Stage.