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Full Time Online Data Annotation Jobs (NOW HIRING)

Hark

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data ... Compensation The US base salary range for this full-time position is between $150,000 - $250,000 ...

Welo Data

Data Labeling Associate

Austin, TX

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...

Welo Data

Data Labeling Associate

San Francisco, CA

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...

Welo Data

Data Labeling Associate

Chicago, IL

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...

Welo Data

Data Labeling Associate

Washington, DC

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...

Welo Data

Data Labeling Associate

New York, NY

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...

Welo Data

Data Labeling Associate

Seattle, WA

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...

Welo Data

Data Labeling Associate

Bellevue, WA

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...

Welo Data

Data Labeling Associate

Boston, MA

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...

Welo Data

Data Labeling Associate

Burlingame, CA

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...

Welo Data

Data Labeling Associate

Redmond, WA

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...

Welo Data

Data Labeling Associate

Sunnyvale, CA

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... W2 Full-Time Employee • Hours: 40 hours per week • Work Authorization: Must be authorized to ...

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Full Time Online Data Annotation information

Is it hard to get hired for data annotation?

Getting hired for a full-time online data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. Many companies offer entry-level positions with minimal experience needed, making the process accessible for beginners. Competition can vary depending on the platform and job requirements, but consistent application and skill development improve chances of employment.

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.

How much do data annotators get paid?

Data annotators working full-time typically earn between $12 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some roles may offer fixed salaries or project-based pay, and familiarity with annotation tools can improve earning potential.

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.

How hard is it to get hired by data annotation?

Getting hired for a full-time online data annotation role generally requires basic computer skills, attention to detail, and the ability to follow instructions. Many positions are entry-level and do not require prior experience, but strong accuracy and consistency are important for selection. The application process often involves completing a skills test or sample annotation task.

How to make $25 dollars an hour online?

Full Time Online Data Annotation jobs typically pay between $10 and $20 per hour, but experienced annotators with specialized skills or certifications can earn up to $25 or more. Increasing your earning potential involves gaining expertise in specific annotation tools, maintaining high accuracy, and working consistently on high-paying projects or platforms that offer better rates.

Does data annotation actually pay?

Full time online data annotation jobs typically pay hourly or per task rates, with wages varying based on experience, complexity of annotations, and platform. Many companies offer competitive pay, and some roles require basic skills in data labeling tools or software. Payment is usually processed regularly through direct deposit or online payment systems.

Can you actually make money on data annotation?

Full time online data annotation jobs typically pay hourly or per task rates, and earnings depend on the volume of work completed and the company's pay structure. While it can provide a steady income, it usually does not generate high wages and may require consistent effort and accuracy. Skills in attention to detail and familiarity with annotation tools can improve earning potential.

Can I do data annotation with no experience?

Full Time Online Data Annotation jobs often do not require prior experience, as training is typically provided to help new workers learn annotation tools and standards. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. However, some roles may prefer or require familiarity with specific data types or annotation software.

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.

Are data annotations still hiring?

Full-time online data annotation jobs are currently available, with demand driven by AI and machine learning development. These roles often require attention to detail and familiarity with annotation tools, and they can offer flexible schedules. Job availability can vary by platform and industry needs, so checking current listings is recommended.
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What are the most commonly searched types of Online Data Annotation jobs? The most popular types of Online Data Annotation jobs are:
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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 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.
Software Engineer, Labeling Infrastructure

Software Engineer, Labeling Infrastructure

Waymo

Mountain View, CA • On-site

$170K - $216K/yr

Full-time

Posted 17 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Labeling Platform Team creates data solutions to power groundbreaking research and development during all stages of the ML Lifecycle: pretraining, supervised fine-tuning, reinforcement learning, etc. The labeled data that the team produces is used to directly enhance and evaluate the Waymo Driver as well as the vast variety of models that power other parts of the business.
In this hybrid role you will report to a Technical Lead Manager/Staff Software Engineer.
You will:
  • Build state of the art labeling infrastructure to enable production of labeled datasets.
  • Improve the "data flywheel" end to end efficiency through automation and monitoring.
  • Work with the labeling operations teams to hillclimb on process efficiencies and build tooling to manage large workforces and distribute tasks effectively.

You have:
  • Bachelor's degree in Computer Science, Engineering, or related field, and 3+ years equivalent experience
  • Experience developing data annotation/review tools. EG: Labeling for ML, Content Reviews for Trust and Safety, etc.
  • Experience building API servers, web backends.
  • Experience building, optimizing, debugging, and maintaining large scale data processing pipelines.
  • Proficiency in Typescript and/or Frontend frameworks (Angular, ReactJS).

We prefer:
  • Experience in developing diverse data annotation tooling and infrastructure.
  • Knowledge of the application of labeled datasets within the full ML ecosystem.
  • Experiencing programming using C++, Python.
  • Hands-on experience with LLM/GenAI-based products.

((Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.))
#LI-Hybrid
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$170,000-$216,000 USD

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