ZipRecruiter

Log In

2

No Experience Machine Learning Data Annotation Jobs

Welocalize, Inc.

Data Labeling Analyst

San Diego, CA

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Experience: * Ability to work in a fast-paced, collaborative environment. * Excellent communication ...

Welocalize, Inc.

Data Quality Analyst

New York, NY

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Experience: * Ability to work in a fast-paced, collaborative environment. * Excellent communication ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Experience: * Ability to work in a fast-paced, collaborative environment. * Excellent communication ...

Welocalize, Inc.

Data Quality Analyst

New York, NY

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Experience: * Ability to work in a fast-paced, collaborative environment. * Excellent communication ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Experience: * Ability to work in a fast-paced, collaborative environment. * Excellent communication ...

Welocalize, Inc.

Data Quality Analyst

San Francisco, CA · On-site

The ideal candidate will have a foundational understanding of machine learning, data annotation ... Experience: * Ability to work in a fast-paced, collaborative environment. * Excellent communication ...

Bot Auto

Data Annotation Specialist

Houston, TX

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.

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site +1

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Experience in a related role * Experience in a role requiring usage of a variety of technology ...

next page

Showing results 1-20

All JobsNo Experience Machine Learning Data Annotation Jobs

No Experience Machine Learning Data Annotation information

See salary details

$37.5K

$122.7K

$196.5K

How much do no experience machine learning data annotation jobs pay per year?

As of Jun 24, 2026, the average yearly pay for no experience machine learning data annotation in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Can I get an AI job with no experience?

Entry-level machine learning data annotation roles often do not require prior experience, as they focus on labeling data to train AI models. Basic computer skills, attention to detail, and understanding of data formats are typically sufficient to start, and some companies offer training or onboarding programs for beginners.

What should I expect when collaborating with machine learning engineers as a data annotator with no prior experience?

As a data annotator working alongside machine learning engineers, you will play a vital role in preparing high-quality labeled data for model training. Engineers often provide clear guidelines and feedback on how to label or categorize data accurately, and they may hold regular check-ins to address questions and ensure consistency. While you may not need technical expertise, strong communication and attention to detail are essential, as your work directly impacts the performance of machine learning models. Over time, you’ll become familiar with annotation tools and may have the opportunity to take on more advanced tasks or quality assurance responsibilities.

What are 'No Experience Machine Learning Data Annotation' jobs?

'No Experience Machine Learning Data Annotation' jobs are entry-level positions where individuals help label and categorize data used to train machine learning models. These roles do not require prior experience in data science or programming, making them accessible to beginners. Typical tasks may include tagging images, transcribing audio, or identifying objects in videos. These jobs are essential for improving the accuracy of AI systems and are often done remotely or on a flexible schedule.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role with no experience is generally accessible, as many companies offer entry-level positions that require basic computer skills and attention to detail. Candidates often complete simple training or tutorials, and the job typically involves straightforward tasks using annotation tools. While competition exists, building a strong attention to detail and familiarity with annotation platforms can improve chances of employment.

Do I need coding experience for data annotation?

For a no experience machine learning data annotation role, coding experience is generally not required, as the job involves labeling data such as images, text, or audio using user-friendly tools. Basic computer skills and attention to detail are more important, though some tasks may benefit from familiarity with simple software or platforms. Coding skills are typically not necessary for entry-level annotation positions.

What are the key skills and qualifications needed to thrive as a No Experience Machine Learning Data Annotation Specialist, and why are they important?

To succeed in a No Experience Machine Learning Data Annotation role, you need strong attention to detail, basic computer literacy, and the ability to follow precise instructions, often requiring at least a high school diploma. Familiarity with data labeling tools (like Labelbox or Supervisely) and experience with spreadsheet software are typically helpful, though many positions offer on-the-job training. Reliability, patience, and effective communication are valuable soft skills for maintaining quality and meeting deadlines. These skills ensure accurate, consistent data labeling, which is critical for training reliable machine learning models.

What is the difference between No Experience Machine Learning Data Annotation vs Data Labeling Specialist?

AspectNo Experience Machine Learning Data AnnotationData Labeling Specialist
Required CredentialsNo formal experience needed, training providedTypically similar, may require basic technical skills
Work EnvironmentRemote or office-based, repetitive tasksRemote or onsite, focused on data preparation
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, automotive, healthcare sectors
Search & Comparison IntentOften searched by beginners or entry-level job seekersCompared for skill requirements and job scope

Both roles involve labeling data for machine learning models, with minimal experience required. Data Labeling Specialists may have slightly more specialized tasks, but both are entry-level positions vital for AI development.

Can you work for data annotation with no experience?

No experience data annotation roles are often entry-level and may not require prior skills, but basic computer literacy and attention to detail are usually necessary. Training is typically provided, and familiarity with annotation tools can be helpful for efficiency. Having some understanding of data labeling standards can improve job performance and opportunities for advancement.
More about No Experience Machine Learning Data Annotation jobs
What cities are hiring for No Experience Machine Learning Data Annotation jobs? Cities with the most No Experience 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 No Experience Machine Learning Data Annotation jobs? States with the most job openings for No Experience Machine Learning Data Annotation jobs include:
What job categories do people searching No Experience Machine Learning Data Annotation jobs look for? The top searched job categories for No Experience Machine Learning Data Annotation jobs are:
No Experience Machine Learning Data Annotation jobs near you
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 4 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 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

View All Apple Jobs

Apply