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No Experience Online Data Annotation Jobs (NOW HIRING)

Dyna Robotics, Inc

$52 - $78/hr

As a Data Annotation Specialist at Dyna Robotics, you will be pivotal in iterating on our AI system ... Associate's or Bachelor's degree (or equivalent experience) * Strong attention to detail ...

iMerit

Be Seen First

Video Data Annotator

San Jose, CA · Remote

$35/hr

... annotation project. In this role, you'll apply your expertise to help train next-generation AI ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Required Skills & Qualifications: - 1+ years of experience in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems. - Experience with 3D spatial data (LiDAR, point ...

Jobgether

$40 - $54/hr

... with no gaps or overlaps. * Create action labels using simple present tense and describe only ... Opportunity to build practical experience in AI data annotation, video understanding, model ...

iMerit

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Video Data Annotator

Miami, FL · Remote

$35/hr

... annotation project. In this role, you'll apply your expertise to help train next-generation AI ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Home Depot

Online Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... No previous leadership experience Certifications: * None Competencies: * Action Oriented

Home Depot

Online Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

Online Data Engineer teams at The Home Depot translate business requirements and build the ... No previous leadership experience Certifications: * None Competencies: * Action Oriented

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No Experience Online Data Annotation information

What is the difference between No Experience Online Data Annotation vs Data Labeler?

AspectNo Experience Online Data AnnotationData Labeler
Required CredentialsNo experience needed, basic computer skillsTypically similar, no formal certifications required
Work EnvironmentRemote, online platform-basedRemote or on-site, depending on employer
Industry UsageCommon in AI training, machine learning projectsUsed in AI, computer vision, NLP tasks
Search & Comparison IntentHigh overlap, often compared for entry-level rolesRelated role, often confused with data annotation

Both No Experience Online Data Annotation and Data Labeler roles involve labeling data for AI models, often requiring minimal prior experience. The main difference lies in terminology; 'Data Labeler' is a more traditional term, while 'No Experience Online Data Annotation' emphasizes entry-level, remote work. Both roles are essential in AI development and share similar work environments and skill requirements.

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No Experience Online Data Annotation jobs near you
Infographic showing various No Experience Online Data Annotation job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, 21% Part Time, 4% Temporary, and 25% Contract. Highlights an 62% In-person, and 38% Remote job distribution.

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

Apple

Cupertino, CA • On-site

Full-time

Re-posted 18 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 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.
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

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