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Data Annotation Tech Remote Jobs in Georgia (NOW HIRING)

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

... technology and engineering services present in nearly 50 countries. The end client is in the ... Remote, Atlanta preferred. Hands-on experience in Neo4j database development, deployment and ...

... technology and engineering services present in nearly 50 countries. The end client is in the ... Remote, Brazil OK, Atlanta preferred. At least 5+ years of overall IT experience. The individual ...

Data Scientist

Atlanta, GA ยท On-site +1

$60/hr

Remote Travel Required : N/A About Kaizen Kaizen Analytix is a global technology consulting firm that helps organizations unlock the full value of their data through advanced analytics, artificial ...

US (Remote) Interested applicants mustresidein one of the following approvedstates:Arizona ... You'll partner with business and process owners, data and technology teams, and functional ...

Data Engineer (GCP)

Atlanta, GA ยท Remote

$55 - $60/hr

We are looking for a Data Engineer (GCP) for a remote, contract opportunity. This is a W-2 contract ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Technology Consulting Manager

Atlanta, GA ยท On-site +1

$106K - $142K/yr

Remote We are seeking a talented Mobile Application Developer with strong expertise in Kotlin and ... About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ...

Data Architect

Warner Robins, GA ยท On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0243613 Location: Warner Robins,GA,US Share job via: Share Data ... Bachelor's degree in Computer Science, Data Science, or Information Technology Nice If You Have:

$164K/yr

... NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Data Engineer (Azure)

Atlanta, GA ยท On-site +1

$110K - $132K/yr

About RethinkFirst RethinkFirst is a leading behavioral health technology company working to make ... Remote opportunities are available to candidates who reside in the following states: AL, AZ, CT, FL ...

Company Description Charter Global is a global Information Technology and Solutions provider with ... and remote resources to get the job done - consistently Here is the Job details: Title: Data ...

Data Infrastructure Architect

Atlanta, GA ยท On-site +1

$61.25 - $78.75/hr

Description At Sequoia Connect , we are a Talent-First Technology Ecosystem that redefines how ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Understands virtual and remote management best practices. * Experience with cloud data and AI ... Understanding of technology product delivery and product roadmaps. * Ability to process map ...

Showing results 41-60

Data Annotation Tech Remote information

What is a data annotation tech remote?

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 the key skills and qualifications needed to thrive as a data annotation tech remote?

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 techs, 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 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.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company or project. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are the most commonly searched types of Data Annotation Tech jobs in Georgia?

The most popular types of Data Annotation Tech jobs in Georgia are:

What are popular job titles related to Data Annotation Tech Remote jobs in Georgia?

For Data Annotation Tech Remote jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech Remote jobs in Georgia look for?

The top searched job categories for Data Annotation Tech Remote jobs in Georgia are:

What cities in Georgia are hiring for Data Annotation Tech Remote jobs?

Cities in Georgia with the most Data Annotation Tech Remote job openings:

Infographic showing various Data Annotation Tech Remote job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

AI Trainer - Microbiology Expert

Augusta, GA โ€ข Remote

micro1 AI
Software Developmentย โ€ขย 11 - 50 employees

$70 - $90/hr

Part-time

This job post hasย expired 3 days ago.ย Applications are no longer accepted.


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelorโ€™s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Masterโ€™s or PhD) in a relevant field.