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Entry Level Machine Learning Data Annotation Jobs

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning data pipelines. * Design tests for machine ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning data pipelines. * Design tests for machine ...

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Data Annotator (Autonomous Vehicle / AI)

San Francisco, CA · On-site

$32 - $39/hr

... to power machine learning models. This position plays a critical role in ensuring the safety ... The ideal candidate is detail-oriented, technically proficient in 2D and 3D annotation, and ...

Apple

Machine Learning - Data Scientist

Sunnyvale, CA · On-site

The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...

Sunday

Technical Program Manager, Data Engine

Redwood City, CA · On-site

$157K - $204K/yr

They are seeking a Technical Program Manager, Data Engine to manage data annotation and collection projects, ensuring high-quality data delivery for machine learning experiments. Responsibilities ...

Apple

Machine Learning - Data Scientist

Sunnyvale, CA

$147K - $272K/yr

The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...

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All JobsEntry Level Machine Learning Data Annotation Jobs

Entry Level Machine Learning Data Annotation information

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

As of Jun 25, 2026, the average hourly pay for entry level machine learning 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.

How hard is it to get hired at data annotation?

Getting hired for an entry-level machine learning data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. The hiring process is often straightforward, with many positions offering flexible schedules and minimal experience requirements, making it accessible for beginners.

Can you work for data annotation with no experience?

Entry level machine learning data annotation roles often do not require prior experience, as training is typically provided to teach specific annotation tools and guidelines. Basic computer skills, attention to detail, and the ability to follow instructions are usually sufficient to start, making it accessible for beginners. However, some positions may prefer familiarity with data labeling or related tasks.

Is DataAnnotation legit in 2026?

Data annotation is a legitimate and essential part of entry-level machine learning jobs, including data annotation roles. These positions typically involve labeling data for training AI models and require attention to detail, basic understanding of data formats, and sometimes familiarity with annotation tools. The field remains active, with ongoing demand for skilled annotators in AI development.

Does data annotation really pay you?

Entry level machine learning data annotation jobs typically pay hourly or per task rates, with pay varying based on complexity and platform. Many roles offer part-time or flexible schedules, and payment is usually processed through direct deposit or online payment systems. Overall, data annotation can provide a reliable income for those with attention to detail and basic computer skills.

What is the difference between Entry Level Machine Learning Data Annotation vs Entry Level Data Labeling Specialist?

AspectEntry Level Machine Learning Data AnnotationEntry Level Data Labeling Specialist
CredentialsBasic understanding of data annotation tools, no formal certification requiredSimilar; often no formal certification needed
Work EnvironmentRemote or on-site, working with AI teams and datasetsRemote or on-site, focusing on labeling data for AI/ML projects
Industry UsagePrimarily in AI, machine learning, and data science companiesUsed across tech, automotive, healthcare, and other industries
Search & Comparison IntentCommonly compared for entry-level roles in AI data prepOften compared as a similar entry-level data labeling role

Both roles involve preparing data for machine learning models, with similar entry-level requirements. The main difference lies in terminology and specific job focus, but they often overlap in skills and work environment.

More about Entry Level Machine Learning Data Annotation jobs
What cities are hiring for Entry Level Machine Learning Data Annotation jobs? Cities with the most Entry Level Machine Learning Data Annotation job openings:
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Entry Level Machine Learning Data Annotation jobs near you
Infographic showing various Entry Level Machine Learning Data Annotation job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.
Data Annotation Technician

Data Annotation Technician

Q ANALYSTS LLC

Kirkland, WA

Full-time

Posted 14 days ago

Job description

Company Description

Join Q Analysts and become part of a world-class organization. Q Analysts has a sixteen-years track record of providing managed services and we've partnered with some of the world's best companies to deliver services that exceed expectations. Q Analysts provides industry-leading managed services that drive Quality for Quality Assurance and Testing of hardware devices, software apps and experiences as well as Ground Truth Data Services for artificial intelligence (AI) and machine learning (ML).

Q Analysts is headquartered in San Jose, CA with a presence throughout the US and internationally. The company has been recognized repeatedly for its industry-leading growth rate and service quality. At Q Analysts, we listen to your needs and help you select what's right for you - this includes the right career opportunities, a choice of comprehensive benefits packages as well as technical training. When you become a Q Analysts employee, you'll see the difference in the superior levels of support and service we deliver to you, our partners, through our Consultant Experience Program. Learn about us here and come join us.

Job Description

Q Analysts is a high growth technology consulting company with a focus on providing Quality Assurance & Testing and Ground Truth Data Services to top technology corporations in the US. We deliver value added services to our clients that include managed services and managed projects.

Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection initiatives and contribute to the development of VR and AR products. The focus of ground truth data collection is to capture various types of data relating to humans, speech and environments to enable quality Artificial Intelligence and Machine Learning algorithms. The Data Annotation Technician will be responsible for analyzing and summarizing data while utilizing specialized tooling for processing. The ideal candidate will have an appreciation for technology, be able to work autonomously and efficiently and have strong attention to detail. This is a short term project with potential for long term.

Responsibilities: 

  • Generate answer summaries to a given question from pre-determined content
  • Analyze content and use best judgement for proper answers
  • Meet daily, weekly and monthly velocity expectations
  • Generate daily reports on completed tasks
  • Assist with peer to peer training
Qualifications

Skills and Requirements: 

  • Ability to work on repetitive tasks effectively
  • Strong written grammar skills
  • Professional verbal and written communication 
  • Able to make judgement calls based on a set of criteria
  • Able to manage time effectively with minimum oversight 
  • Organized and detail oriented 
  • Adaptable, reliable and ethical 
  • Technology skills including tooling and PC
  • Transcription or tagging skills a major plus

Experience: 

  • Experience in a related role 
  • Experience in a role requiring usage of a variety of technology tools
  • Experience with Microsoft Office 365 and all its components (SharePoint, Forms, Power Automate, Outlook, Word, Excel) 

Verification of COVID 19 vaccination, background check, and ability to work in the United States without requiring sponsorship required for all new hires.

Additional Information

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability Q Analysts is an EOE. All your information will be kept confidential according to EEO guidelines.

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