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Entry Level Machine Learning Data Annotation Jobs

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 ...

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 ...

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 ...

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.

... 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 Machine Learning Data Annotation information

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

As of Aug 5, 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:
Infographic showing various Entry Level Machine Learning Data Annotation job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 23% Full Time, 28% Part Time, 1% Contract, 44% Nights, and 1% Summer. 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.

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

Apple

Cupertino, CA • On-site

Full-time

Re-posted 15 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 676 frontline employees who took The Breakroom Quiz

7th 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.
Description
The Special Projects team at Apple is developing novel user-facing conversational features that
leverage the multimodal capabilities of state-of-the-art foundation models. As part of this
process, we generate real-world and simulated data, gather human data annotations, analyze
the results, and use them to build and evaluate Large Language Model judges. We are looking
for a skilled Data Scientist to join our Machine Learning Evaluations teams. This person will
work closely with ML Engineers to manage and analyze our human and automated data
annotation processes, and to develop, test, and refine LLM judges for generative AI model
evaluation. A successful candidate is experienced in survey design, data annotation, LLM
prompt engineering and prompt optimization, and has strong statistical analysis skills.
Minimum Qualifications
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
Preferred Qualifications
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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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