ZipRecruiter

Log In

1

Freelance Ai Data Labeling Jobs in Springfield, GA

Unis LLC

Bendi Operator

Pooler, GA · On-site

$21/hr

Maintain inventory accuracy by verifying product, location, quantities, and labels during every ... data-driven insights. By unifying transportation, assets, and information through AI-enabled ...

COFREIGHT INC

Bendi Operator

Pooler, GA

$21/hr

Maintain inventory accuracy by verifying product, location, quantities, and labels during every ... data-driven insights. By unifying transportation, assets, and information through AI-enabled ...

Unisco

Bendi Operator

Pooler, GA · On-site

$21/hr

Maintain inventory accuracy by verifying product, location, quantities, and labels during every ... data-driven insights. By unifying transportation, assets, and information through AI-enabled ...

All JobsAi Data Labeling JobsFreelance Ai Data Labeling JobsFreelance Ai Data Labeling Jobs in Springfield, GA

Freelance Ai Data Labeling information

See Springfield, GA salary details

$12

$39

$109

How much do freelance ai data labeling jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for freelance ai data labeling in Springfield, GA is $39.41, according to ZipRecruiter salary data. Most workers in this role earn between $20.05 and $51.01 per hour, depending on experience, location, and employer.

What is freelance AI data labeling?

Freelance AI data labeling involves working independently to annotate or tag data, such as images, text, audio, or video, to help train artificial intelligence and machine learning models. Freelancers are hired by companies or platforms to manually identify and categorize data so that algorithms can learn to recognize patterns and make accurate predictions. This work is essential for improving the accuracy and performance of AI systems in various applications, including self-driving cars, voice assistants, and content moderation. Typically, freelancers need attention to detail, basic technical skills, and sometimes domain-specific knowledge, depending on the project's requirements.

What are the key skills and qualifications needed to thrive as a freelance AI data labeler?

To thrive as a Freelance AI Data Labeler, you need strong attention to detail, basic understanding of machine learning concepts, and the ability to follow complex guidelines accurately, usually supported by a high school diploma or higher education. Familiarity with data annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes specific domain knowledge is often required. Excellent time management, reliability, and clear communication help freelancers stand out in delivering high-quality, consistent results. These skills ensure that labeled data is accurate and reliable, directly impacting the effectiveness of AI models and client satisfaction.

What are some typical challenges faced by freelance AI data labelers, and how can they be managed?

Freelance AI data labelers often encounter challenges such as maintaining accuracy while working with large volumes of repetitive data, understanding complex labeling guidelines, and managing tight deadlines across multiple clients. Effective strategies include regularly reviewing project instructions, using productivity tools to track progress, and seeking clarification from clients when uncertainties arise. Maintaining open communication with project managers and participating in feedback sessions can also help improve labeling quality and efficiency.

What is the difference between Freelance Ai Data Labeling vs Data Annotation Specialist?

AspectFreelance Ai Data LabelingData Annotation Specialist
CredentialsNone required, but familiarity with labeling tools helpsOften requires training or certification in annotation tools
Work EnvironmentRemote, flexible freelance projectsTypically employed by companies or agencies, sometimes remote
Employer & IndustryFreelance platforms, AI/ML industryTech companies, AI development teams
Search & Comparison IntentLooking for freelance labeling jobsSeeking full-time or contract annotation roles

Freelance Ai Data Labeling involves independently completing labeling tasks for various clients, offering flexibility and project-based work. Data Annotation Specialists often work within organizations or agencies, focusing on detailed annotation tasks as part of a team. Both roles require knowledge of labeling tools, but freelancers typically have more varied projects, while specialists may have more structured employment settings.

What cities near Springfield, GA are hiring for Freelance Ai Data Labeling jobs?

Cities near Springfield, GA with the most Freelance Ai Data Labeling job openings:

Freelance Ai Data Labeling jobs near you
Infographic showing various Freelance Ai Data Labeling job openings in Springfield, GA as of August 2026, with employment types broken down into 56% Full Time, 23% Part Time, and 21% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $81,970 per year, or $39.4 per hour.

Flexible remote AI work. Your schedule. Paid weekly, straight to your bank account.

Meridian.ai

Savannah, GA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.

Apply