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Data Annotation Tech Remote Jobs in Jackson, MS (NOW HIRING)

TSMG

AI/ML Data Contributor

Jackson, MS · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task ...

TSMG

AI/ML Data Contributor

Jackson, MS · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task ...

Noblesoft Technologies

SME Azure Data Engineer

Jackson, MS · Remote

$117.20K - $140.70K/yr

Jackson, MS 39211 - Remote Duration: 5 years Bachelor's degree required Position Description: Design, build, and maintain Azure-based data pipelines using Synapse Analytics to support MSIS and ...

EnthuZiastic

Growth Hacker - Remote

Jackson, MS · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ... Ability to stay updated with the latest trends in marketing and technology and adapt strategies ...

EDB

IT Infrastructure Engineer II

Jackson, MS · Remote

$93.70K - $122.90K/yr

A Little About Us EDB provides a data and AI platform that enables organizations to harness the ... This role is 100% remote for candidates based in EST or CST only We are looking for a confident ...

EDB

Senior IT Infrastructure Engineer

Jackson, MS · Remote

$94.50K - $128.50K/yr

A Little About Us EDB provides a data and AI platform that enables organizations to harness the ... This role is 100% remote for candidates based in EST or CST only We are looking for a confident ...

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Data Annotation Tech Remote information

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

As of Jun 1, 2026, the average hourly pay for data annotation tech remote in Jackson, MS is $19.91, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $23.65 per hour, depending on experience, location, and employer.

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.

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 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 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 job categories do people searching Data Annotation Tech Remote jobs in Jackson, MS look for? The top searched job categories for Data Annotation Tech Remote jobs in Jackson, MS are:
Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Jackson, MS as of May 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Temporary. Highlights an 45% Physical, 6% Hybrid, and 49% Remote job distribution, with an average salary of $41,403 per year, or $19.9 per hour.

AI/ML Data Contributor

TSMG

Jackson, MS • Remote

Part-time

Posted 5 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. 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, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.