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Entry Level Machine Learning Data Annotation Jobs

$20/hr

Proficiency in data annotation, labeling, or preparation for machine learning * Exceptional ... attention to detail and accuracy * Strong written and verbal communication skills * Ability to ...

You'll work in coordination with Machine Learning, Software engineering, and Data to define the framework and tools on which to build a data annotation team around. Your role is vital to ensuring our ...

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

The Data Annotation Specialist will be responsible for creating, refining, and validating ground ... Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling ...

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 ...

Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling ... Prior experience in data annotation for autonomous driving, robotics, or computer vision.

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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 Jul 15, 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.

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:
What are the most commonly searched types of Machine Learning Data Annotation jobs? The most popular types of Machine Learning Data Annotation jobs are:
What states have the most Entry Level Machine Learning Data Annotation jobs? States with the most job openings for Entry Level Machine Learning Data Annotation jobs include:

Data Annotation Generalist

Recruitment Room

Remote

$20/hr

Contractor

Posted 15 days ago


Job description

Data Annotation Generalist

Contract Type: Hourly, Independent Contractor

Location: Remote

Compensation: $20 per hour

Openings: 600

Role Overview

We are seeking detail-oriented Data Annotation Generalists to support the training of next-generation AI systems. Your work will involve labeling, categorizing, and annotating diverse datasets to ensure accuracy, consistency, and high-quality input for machine learning models.

Key Responsibilities
  • Data Labeling: Annotate and categorize datasets with precision, following project guidelines.

  • Quality Assurance: Review and correct annotations to maintain data integrity.

  • Collaboration: Work with teams to clarify requirements and resolve ambiguities.

  • Documentation: Maintain clear records of annotation workflows.

  • Tool Feedback: Suggest improvements to annotation tools and processes.

  • Communication: Share insights and raise issues effectively through written and verbal channels.

  • Adaptability: Adjust to evolving instructions and new data types.

Required Skills Qualifications
  • Proficiency in data annotation, labeling, or preparation for machine learning

  • Exceptional attention to detail and accuracy

  • Strong written and verbal communication skills

  • Ability to interpret complex instructions consistently across large datasets

  • Experience with annotation tools or platforms used in AI development

  • Analytical mindset and problem-solving skills

  • Ability to work independently in a remote environment

Preferred Qualifications
  • Background in linguistics, computer science, or data science

  • Experience contributing to AI training or NLP projects

  • Familiarity with multiple data types (text, image, audio, video)