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Home Based Data Labeling Jobs (NOW HIRING)

... Data Labeling Platform. This is a highly visible, high-impact role where you will bridge the gap ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

$2 - $5/hr

Our partner is looking for a Video Annotation & Data Labeling Specialist based in Netherlands. This role offers the opportunity to contribute directly to the development and improvement of next ...

$40 - $54/hr

Our partner is looking for a #49426 Video Annotation & Data Labeling Project based in Netherlands. Join a long-term AI data project focused on transforming video content into high-quality training ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Responsibilities : • Perform AI/ML ...

Data-Informed Learning; Transparent & Open Communication; Growth Mindset; Championing Equality; Caring Teams & Communities. Your Role: As a Home Based Visitor for a Head Start/Early Head Start ...

In this role, you will assist in improving machine learning models through tasks such as data labeling, content evaluation, and user-based testing. Responsibilities : • Perform AI/ML-related tasks ...

Data-Informed Learning; Transparent & Open Communication; Growth Mindset; Championing Equality; Caring Teams & Communities. Your Role: As a Home Based Visitor for a Head Start/Early Head Start ...

Home Based Visitor

New York, NY · On-site +1

$50K - $57K/yr

Data-Informed Learning; Transparent & Open Communication; Growth Mindset; Championing Equality; Caring Teams & Communities. Your Role: As a Home Based Visitor for a Head Start/Early Head Start ...

Home Based Visitor

New York, NY · On-site

$50K - $57K/yr

Data-Informed Learning; Transparent & Open Communication; Growth Mindset; Championing Equality; Caring Teams & Communities. Your Role: As a Home Based Visitor for a Head Start/Early Head Start ...

Home Based Visitor

New York, NY · On-site +1

$50K - $57K/yr

Data-Informed Learning; Transparent & Open Communication; Growth Mindset; Championing Equality; Caring Teams & Communities. Your Role: As a Home Based Visitor for a Head Start/Early Head Start ...

Home Based Visitor

New York, NY · On-site +1

$50K - $57K/yr

Data-Informed Learning; Transparent & Open Communication; Growth Mindset; Championing Equality; Caring Teams & Communities. Your Role: As a Home Based Visitor for a Head Start/Early Head Start ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

Showing results 21-40

Home Based Data Labeling information

What is the difference between Home Based Data Labeling vs Data Annotation Specialist?

AspectHome Based Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often requires familiarity with annotation tools
Work EnvironmentRemote, home-basedRemote or office-based, depending on employer
Industry UsageCommon in AI training data preparationUsed in AI, machine learning, and data science projects
Search IntentLooking for remote data labeling jobsSearching for data annotation roles or projects

Home Based Data Labeling involves individuals performing labeling tasks remotely, often with minimal credentials. Data Annotation Specialists may have similar skills but can work in more structured environments or with specialized tools. Both roles support AI development and are popular in remote work settings, with overlapping skills but slight differences in job scope and environment.

How much are home based data labelers paid?

Home-based data labelers typically earn between $10 and $20 per hour, depending on the company, project complexity, and experience. Pay rates can vary, with some projects offering per-task compensation or bonuses for accuracy and speed.

Is data labeling a good career?

Data labeling is a common entry-level job in the data annotation industry, involving categorizing and tagging data for machine learning models. It often offers flexible schedules and requires attention to detail, but typically has low to moderate pay and limited career advancement without additional skills or certifications.

What cities are hiring for Home Based Data Labeling jobs?

Cities with the most Home Based Data Labeling job openings:

What are the most commonly searched types of Data Labeling jobs?

The most popular types of Data Labeling jobs are:

What states have the most Home Based Data Labeling jobs?

States with the most job openings for Home Based Data Labeling jobs include:

Geospatial AI Data Annotator- St. Louis

Enabled Intelligence

Saint Louis, MO • On-site

$20/hr

Full-time

Re-posted 10 days ago


Job description

Geospatial AI Data Annotator
About Enabled Intelligence, Inc.
Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.
At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved!
Geospatial AI Data Annotator
Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. As a member of the Enabled Intelligence annotation team, you will help us collect and annotate unclassified, sensitive, and classified data for AI/ML technologies. We are looking for detail-oriented individuals who will collaborate with our team, label large amounts of data, and provide feedback to our data scientists and engineers to create high-quality labeled data sets. Joining our team means playing an integral role for the future of government AI/ML capabilities.
Responsibilities
  • Use advanced analytic tools to locate, label, tag and categorize various elements in large datasets
  • Interact with data science and data engineering teams to design new features for more efficient labeling techniques
  • Gain an in-depth knowledge of using both commercial and custom annotation software tools
  • Keep project manager informed of platform enhancement ideas, risks, and issues

Required Qualifications and Skills
  • Eligibility to obtain a Top Secret- SCI security clearance
  • US Citizenship Required
  • Ability to follow directions and meet deadlines
  • Ability to communicate reliably
  • Ability to learn and retain new information and apply it to a variety of projects
  • Ability to be a good team player and work with individuals with different communication, learning and working styles.
  • Ability to work independently including managing your schedule, attending all required meetings and completing projects within a deadline
  • Ability to understand and apply guidelines for data annotation
  • Ability to perform repetitive tasks while paying constant close attention to detail and delivery accurate and precise work
  • Ability to keep information confidential
  • Ability to work out of the Enabled Intelligence office located in St. Louis MO, VA Monday-Friday during normal business hours

Desired Qualifications and Skills
  • Previous experience working in a professional, office environment
  • Previous experience in an IT based position
  • Education background in information technology or technical field
  • Previous experience with data labeling or image annotation including analyzing 2D and 3D images, video, audio files, or unstructured text (EO, IR, SAR, FMV)
  • Prior experience with business productivity tools like Microsoft Office, and/or Slack
  • Highschool Degree

Physical Requirements
  • Prolonged periods of sitting at a desk and working on a computer

Background Check
  • Applicants selected will be subject to background investigation and must meet requirments for employment.