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Day Shift Remote Data Annotation Jobs in Gainesville, GA

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.

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... day. We believe a high-performing culture, valuable opportunities for personal development and ...

... day. We believe a high-performing culture, valuable opportunities for personal development and ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Backend & AI/ML Engineer

Alpharetta, GA · On-site +1

$106K - $160K/yr

Day to Day Job Duties: * Develop and support cloud-native data engineering solutions on Google ... The starting pay range for this remote role is $106,840.00 to $160,260.00. This range reflects the ...

Backend & AI/ML Engineer

Alpharetta, GA · On-site +1

$106K - $160K/yr

Day to Day Job Duties: * Develop and support cloud-native data engineering solutions on Google ... The starting pay range for this remote role is $106,840.00 to $160,260.00. This range reflects the ...

SAP FI/CO Lead

Suwanee, GA · On-site +1

$52.75 - $68.25/hr

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with ... Day to Day job Duties: (what this person will do on a daily/weekly basis) Requires at least 12 ...

Java Developer - HYBRID

Alpharetta, GA · On-site +1

$49.75 - $64.50/hr

Req ID: 378374 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Day to Day Responsibilities: * Design, develop, and maintain scalable backend systems using Java ...

Java Developer - HYBRID

Alpharetta, GA · On-site +1

$48.50 - $62.75/hr

Req ID: 378374 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Day to Day Responsibilities: * Design, develop, and maintain scalable backend systems using Java ...

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Day Shift Remote Data Annotation information

What are the key skills and qualifications needed to thrive as a day shift remote data annotation specialist?

To excel as a Day Shift Remote Data Annotation Specialist, strong attention to detail, a solid understanding of data labeling concepts, and basic computer literacy are essential, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data management tools, and sometimes knowledge of specific industry standards or guidelines is typically expected. Excellent time management, communication skills, and the ability to work independently make candidates stand out in this remote role. These capabilities ensure accuracy, efficiency, and reliability in processing and labeling data, which are critical for the quality of machine learning and AI projects.

What is the difference between Day Shift Remote Data Annotation vs Day Shift Remote Data Labeling?

AspectDay Shift Remote Data AnnotationDay Shift Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageTech, AI, Machine LearningTech, AI, Machine Learning
Job FocusAdding annotations to datasetsApplying labels to datasets

Both roles involve working remotely in tech and AI industries, requiring similar skills. Data annotation typically involves marking specific features in data, while data labeling focuses on assigning categories. The main difference lies in the terminology and specific task details, but both are essential for training AI models.

What are some common challenges faced by remote data annotation professionals working day shifts, and how can they be managed?

Remote data annotation professionals on day shifts often encounter challenges such as staying focused during repetitive tasks, maintaining high accuracy, and managing communication across distributed teams. To address these, it's helpful to establish a structured daily routine, take regular short breaks to reduce eye strain and fatigue, and use productivity tools to track progress. Proactive communication with team members and supervisors—using chat platforms or regular video check-ins—also helps ensure alignment on project guidelines and fosters a collaborative remote work environment.

What is a day shift remote data annotation?

A Day Shift Remote Data Annotation job involves labeling or tagging data—such as images, text, audio, or video—so that it can be used to train machine learning models. This work is performed remotely, generally during regular daytime business hours. Data annotators follow specific guidelines to ensure accuracy and consistency, making their work crucial for the development of artificial intelligence systems. Some common tasks include identifying objects in images or transcribing spoken words in audio files. The role typically requires attention to detail and basic computer skills, but extensive technical expertise is usually not required.
What job categories do people searching Day Shift Remote Data Annotation jobs in Gainesville, GA look for? The top searched job categories for Day Shift Remote Data Annotation jobs in Gainesville, GA are:
What cities near Gainesville, GA are hiring for Day Shift Remote Data Annotation jobs? Cities near Gainesville, GA with the most Day Shift Remote Data Annotation job openings:
Infographic showing various Day Shift Remote Data Annotation job openings in Gainesville, GA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 26% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Medical Microbiology Consultant - Remote

micro1 AI

Athens, GA • Remote

$70 - $90/hr

Part-time

Posted 14 days ago


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 — 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. Bachelor’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 (Master’s or PhD) in a relevant field.