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Home Based Data Labeling Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Home Based Data Labeling information

How much are data labelers paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Many remote data labeling jobs pay on a per-task basis or hourly, with some positions offering flexible schedules and requiring basic computer skills.

How can I make 2000 a week working from home?

Home based data labeling can contribute to earning income, but making $2000 weekly typically requires completing a high volume of tasks or working multiple platforms simultaneously. Success depends on efficiency, accuracy, and the pay rate per label, which varies by project. Building skills in data annotation tools and maintaining consistent productivity are essential for higher earnings.

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.

Is data labelling 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 offers flexible schedules and requires attention to detail but typically provides low to moderate pay and limited career advancement without additional skills or certifications.

Is data labeling work from home?

Home-based data labeling is a common remote job where individuals annotate data for machine learning models. It typically requires a computer, internet connection, and attention to detail, and can often be performed on flexible schedules. Many companies offer data labeling roles that are fully remote, making it accessible from home.
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:
Data Annotation Quality Control Analyst- St. Louis

Data Annotation Quality Control Analyst- St. Louis

Enabled Intelligence

Saint Louis, MO • On-site

$23/hr

Full-time

Posted 29 days ago


Job description

Data Annotation
Quality Control Analyst
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! If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for!
Data Annotation Quality Control Analyst
Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. Accuracy of the data used to train AI models is one of the biggest factors in the effectiveness of the AI performance. As a member of the Enabled Intelligence Quality Control team, your role is to help ensure our clients receive the highest quality of data. You will review data such as geospatial imagery (EO, RGB, IR, SAR), Full Motion Video, and types of documents that have been annotated to identify and correct errors such as missed objects, miss-classifications and false positives. You will be responsible for recognizing patterns and sharing this analysis with project managers and the director of Quality Delivery. Joining our team means playing an integral role for the future of government AI/ML capabilities.
Responsibilities
  • Use advanced analytic tools to review data (EO, RGB, IR, SAR, FMV) that has been annotated to identify and correct errors such as missed objects, miss-classifications and false positives
  • Diligently track and analyze patterns of errors and keep Project Managers and the Director of Quality Delivery up to date
  • Process project data according to established procedures and guidelines
  • Provide feedback and ideas on process improvements or concerns that may impact project performance

Required Qualifications and Skills
  • Strong computer skills including proficiency in Excel and PowerPoint
  • Strong analytical skills, visual spatial recognition, pattern recognition and attention to detail
  • Ability to follow directions and meet deadlines
  • Ability to communicate reliably
  • Ability to be a 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 work out of the Enabled Intelligence office located in St. Louis, MO Monday-Friday during normal business hours
  • Must be a US Citizen

Desired Qualifications and Skills
  • Previous imagery-based Data Annotation or feature extraction experience including EO, RGB, IR, SAR and/or FMV
  • Previous Data Annotation Quality Control experience
  • Ability to answer project questions and provide one on one performance feedback to Data Annotators
  • 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 & Security Clearance
Applicants selected will be subject to background investigation and must meet requirements for employment.