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Full Time Online Data Annotation Jobs (NOW HIRING)

Atoms

Data Annotation Analyst

San Francisco, CA · On-site

$71K - $89K/yr

Upload prioritized image data for labeling * Create and track metrics for labelers * Iterate on ... Benefits Summary (USA Full-Time Exempt Employees): * Medical, Dental, Vision, Disability, and Life ...

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 ...

Sesame

Technical Program Manager, Data

San Francisco, CA · On-site

$152K - $196K/yr

... managing full-time employees or contractors involved in data labeling. • Expertise in writing technical specifications for data annotation pipelines. Preferred : • Understanding of ML data ...

Welocalize, Inc.

Data Labeling Associate

New York, NY · On-site

$17.50 - $22.75/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA · On-site

$17 - $22/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

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Full Time Online Data Annotation information

What are the key skills and qualifications needed to thrive as a full time online data annotation specialist, and why are they important?

To thrive as a Full Time Online Data Annotation Specialist, you need strong attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with data annotation tools, cloud-based platforms, and sometimes knowledge of scripting languages like Python is commonly required. Strong communication, time management, and the ability to work independently help individuals excel in this remote role. These skills ensure accurate, high-quality data labeling that is crucial for training effective machine learning models.

What are the best data annotation companies to work for?

Full time online data annotation jobs are offered by companies such as Appen, Lionbridge, and Clickworker, which provide remote work opportunities for annotators. These companies often require attention to detail, familiarity with annotation tools, and the ability to work independently on flexible schedules.

What is the difference between Full Time Online Data Annotation vs Data Labeling Specialist?

AspectFull Time Online Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, online platform-basedRemote or in-office, often on specific projects
Industry UsageAI, machine learning, autonomous vehiclesAI, computer vision, NLP projects
Search IntentFull Time Online Data Annotation vs Data Labeling Specialist

Full Time Online Data Annotation involves ongoing, remote work focused on labeling data for AI training, often with a full-time schedule. Data Labeling Specialists may perform similar tasks but can work part-time or on specific projects. Both roles require attention to detail and basic technical skills, but Full Time Online Data Annotation typically offers more stability and consistent hours.

What are some common challenges faced by full time online data annotators, and how can they be managed effectively?

Full-time online data annotators often encounter challenges such as maintaining focus during repetitive tasks, managing high volumes of data, and ensuring consistency in labeling. To address these, it's important to take regular breaks, utilize productivity tools, and follow detailed annotation guidelines closely. Many organizations provide quality checks and feedback, which can help annotators improve accuracy and efficiency over time. Additionally, collaborating with team leads or peers can offer support and clarify any uncertainties regarding complex data.

Is it hard to get hired for full time online data annotation?

Full time online data annotation jobs are generally accessible to those with basic computer skills and attention to detail. Hiring processes often involve simple assessments or training, and demand varies depending on the company and project complexity, but they tend to have relatively low entry barriers compared to other roles.

What is a full time online data annotation job?

A Full Time Online Data Annotation job involves labeling, tagging, or categorizing data such as images, audio, video, or text to help train artificial intelligence (AI) models. Data annotators work remotely, often using specialized software platforms to accurately mark data according to specific guidelines. This role is essential for improving the accuracy and performance of machine learning algorithms in various industries, including technology, healthcare, and autonomous vehicles. Full-time positions typically require consistent hours and may offer benefits depending on the employer. Attention to detail and the ability to follow instructions are crucial skills for success in this job.
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Full Time Online Data Annotation jobs near you
Infographic showing various Full Time Online Data Annotation job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Annotation Analyst

ATOMS Careers page

San Francisco, CA • On-site

$71K - $89K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 26 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?
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