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No Experience Online Data Annotation Jobs (NOW HIRING)

Teleskope

Jr. AI Engineer - Data Annotation

New York, NY · On-site

$75K - $90K/yr

Familiarity with active learning or online learning approaches. * Experience with SQL and building ... most sensitive data. * Ownership of the annotation and quality processes that determine ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

... of experience in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems. - Experience working with 3D spatial data (LiDAR, depth maps, multi-camera feeds ...

New

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 ...

New

Online Remote Jobs

Online data entry keyer

Texas City, TX · On-site

$14.50 - $19.50/hr

About the job Online data entry keyer The ideal candidate will be responsible for managing a ... data Qualifications Experience in the Consumer electronics industry A deep understanding of ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

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

New

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No Experience Online Data Annotation information

Can I work for No Experience Online Data Annotation with no experience?

No Experience Online Data Annotation jobs typically do not require prior experience, making them accessible to beginners. Basic computer skills and attention to detail are usually sufficient, and training is often provided to help new workers learn the annotation tools and guidelines.

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.

More about No Experience Online Data Annotation jobs
What cities are hiring for No Experience Online Data Annotation jobs? Cities with the most No Experience Online Data Annotation job openings:
What are the most commonly searched types of Online Data Annotation jobs? The most popular types of Online Data Annotation jobs are:
What states have the most No Experience Online Data Annotation jobs? States with the most job openings for No Experience Online Data Annotation jobs include:
What job categories do people searching No Experience Online Data Annotation jobs look for? The top searched job categories for No Experience Online Data Annotation jobs are:
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 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Data Annotation Analyst

ATOMS Careers page

San Francisco, CA • On-site

$71K - $89K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago

Job description

Who we are
Atoms is building the machines that power the next era of progress.
Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We're changing that.
Atoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.
This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don't just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale.
We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life.
If you want to work on hard problems with real-world impact, join us.
What you'll do
  • Perform quality control and labeling for images used for machine learning (ML) models
  • Manage a large team of remote labelers
  • Upload prioritized image data for labeling
  • Create and track metrics for labelers
  • Iterate on existing labeling guidelines for multiple types of computer vision tasks
  • Identify common errors in labeling
  • Communicate feedback and priorities to the labeling team
  • Work directly with the ML team

What we're looking for
  • Prior experience labeling or performing quality control for ML training data
  • Detail-oriented approach
  • Excellent communication skills and effective collaboration with members of the team
  • Familiarity with command-line interface tools preferred
  • Knowledge of labeling policies for multiple types of computer vision tasks
  • Experience with annotation platforms
  • Familiarity with spreadsheet tools or BI dashboards for tracking and visualizing labeler metrics
  • Exposure to version control (Git) or ticketing/workflow tools

Why join us
At Atoms, you'll work on one of the defining challenges of our time-bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what's known and building what doesn't yet exist. The work is ambitious and often challenging, but it's grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team-so we invest in both, creating an environment where you can do your best work and grow.
What else you need to know
This role is based in our San Francisco office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That's why all of our office-based teams work onsite, five days a week.
The base salary range for this role is $71,000 - $89,000 per year.
Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.
Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.
Benefits Summary (USA Full-Time Exempt Employees):
  • Medical, Dental, Vision, Disability, and Life Insurance
  • Flexible Spending Account / Health Savings Account Options
  • 401(k)
  • Equity
  • Sick Time, Unlimited Flexible Time Off, and Paid Holidays
  • Paid Parental Leave
  • Pre-Tax Commuter Benefit Plan
  • Team lunch in our SoMa office every Tuesday and Thursday

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.
Ready to join us as we serve those who serve others?
#LI-Onsite

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