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Entry Level Machine Learning Data Annotation Jobs

OR

$16 - $20.75/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 ...

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 ...

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 ...

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 ...

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

They are seeking a meticulous Data Annotation Specialist responsible for creating, refining, and ... Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling ...

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 May 30, 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 are the most commonly searched types of Machine Learning Data Annotation jobs? The most popular types of Machine Learning Data Annotation jobs are:
Infographic showing various Entry Level Machine Learning Data Annotation job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.
Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation

Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation

Apple

Cupertino, CA • On-site

Full-time

Posted 8 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Apple is where individual imaginations gather together, committing to the values that lead to.great work. Every new product we build, service we create, or experience we deliver is the.result of us making each other's ideas stronger. The diversity of our people and their thinking.inspires the innovation that runs through everything we do. When we bring everybody in, we.can do the best work of our lives. Here, you'll do more than join something - you'll add.something.
The Special Projects team at Apple is developing novel user-facing conversational features thatleverage the multimodal capabilities of state-of-the-art foundation models. As part of thisprocess, we generate real-world and simulated data, gather human data annotations, analyzethe results, and use them to build and evaluate Large Language Model judges. We are lookingfor a skilled Data Scientist to join our Machine Learning Evaluations teams. This person willwork closely with ML Engineers to manage and analyze our human and automated dataannotation processes, and to develop, test, and refine LLM judges for generative AI modelevaluation. A successful candidate is experienced in survey design, data annotation, LLMprompt engineering and prompt optimization, and has strong statistical analysis skills.
BA or Master's degree in Data Science, Statistics, or a quantitative social science field 2+ years of hands-on experience working in survey design and human data annotation Proficiency in Python Excellent communication skills
PhD in Data Science, Statistics, or a quantitative social science field Hands-on industry experience with product-focused statistical analysis Experience working with large-scale multimodal data and data-annotation pipelines Experience with LLM prompt engineering & prompt optimization Experience with LLM auto-judges for generative AI model evaluation A track record of publications or technical presentations in Data Science or a related field Excellent at cross-functional collaboration

What Apple employees say

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Benefits

Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976