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Data Annotation Tech Remote Jobs in Social Circle, GA

Remote-Contract Duration: 1 year + Extension Location: Athens, GA 30606 Job Summary: Seeking an ... Knowledge of current and emerging data management and analytics technologies. * Ability to manage ...

... the tech field. In this role, you will review, assess, and contribute to contract redlining ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

... the tech field. In this role, you will review, assess, and contribute to contract redlining ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

... the tech field. In this role, you will review, assess, and contribute to contract redlining ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Local candidates strongly preferred but 100% remote is acceptable. The consultant will be ... Knowledge of current and emerging data management and analytics technologies. Ability to handle ...

... monitor data completeness and platform health. * Validates outcomes with business and technology ... For all virtual remote positions, in order to ensure associates can effectively perform their job ...

Commercial Counsel

Athens, GA ยท Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

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Data Annotation Tech Remote information

See Social Circle, GA salary details

$13

$24

$37

How much do data annotation tech remote jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for data annotation tech remote in Social Circle, GA is $24.62, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $29.28 per hour, depending on experience, location, and employer.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
Infographic showing various Data Annotation Tech Remote job openings in Social Circle, GA as of July 2026, with employment types broken down into 2% Locum Tenens, 33% Full Time, 26% Part Time, 2% Contract, 36% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $51,206 per year, or $24.6 per hour.

Data Entry Specialist

Circle Health

Athens, GA โ€ข Remote

$14.75 - $19.75/hr

Full-time

Posted 2 days ago

New


Job description

About Circle Health Circle Health is an AI-driven healthcare operations and patient engagement platform focused on addressing global healthcare challenges, including rising healthcare costs, the burden of chronic disease, and aging populations. By combining innovative technology with human-led care management, Circle Health supports physician groups, healthcare organizations, employers, and insurers in improving patient outcomes and operational efficiency. Today, Circle Health supports 100+ organizations and 100,000+ lives globally. We are looking for a reliable and detail-oriented Remote Data Entry Specialist to join our team. This is a work-from-home opportunity for individuals with strong typing skills and attention to detail. Responsibilities: Enter and update data accurately into company systems. Review information for accuracy and completeness. Maintain confidentiality of sensitive information. Meet daily and weekly productivity targets. Requirements: Reliable high-speed internet connection. Personal laptop or desktop computer. Basic computer and data entry skills. Good attention to detail and time management. Ability to work independently in a remote environment. Location: Remote (United States)