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Day Shift Remote Data Annotation Jobs in Georgia

Data Platform Engineer

Atlanta, GA · On-site +1

$145K - $175K/yr

S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ... This application period will remain open for 30 days. We're committed to finding the best candidate ...

Data Architect

Warner Robins, GA · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0243613 Location: Warner Robins,GA,US Share job via: Share Data ... This posting will close within 90 days from the Posting Date. Identity Statement As part of the ...

... 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 ...

Principal Data Scientist

Atlanta, GA · On-site +1

$165K - $249K/yr

... position is remote in the Greater Boston Area only ORhybrid 3 days per week inoureither ... We areseekingan experienced and visionary Principal Data Scientist tohelp scaleour Data Science and ...

Showing results 41-60

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 are the most commonly searched types of Shift Remote Data Annotation jobs in Georgia? The most popular types of Shift Remote Data Annotation jobs in Georgia are:
What job categories do people searching Day Shift Remote Data Annotation jobs in Georgia look for? The top searched job categories for Day Shift Remote Data Annotation jobs in Georgia are:
What cities in Georgia are hiring for Day Shift Remote Data Annotation jobs? Cities in Georgia with the most Day Shift Remote Data Annotation job openings:

DevOps & Data Engineer - GCP (Google Cloud Platform)

NTT DATA Services

Alpharetta, GA • On-site, Remote

$106K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 223 rated it services


Job description

Req ID: 383088 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a DevOps & Data Engineer - GCP (Google Cloud Platform) to join our team in Alpharetta, Georgia,, Georgia (US-GA), United States (US).

Day to Day Job Duties: 

  • Develop AI/ML applications leveraging Google's Gemini API for natural language understanding and generation.
  • Build and enhance cloud-native applications using Python, Databricks, and Google Cloud Platform.
    Design, develop, and maintain scalable backend services using Cloud Run and serverless architectures.
  • Develop and optimize APIs using Google Cloud API Gateway while following security and performance best practices.
  • Build and maintain AI/ML data pipelines using Databricks.
  • Develop and maintain CI/CD pipelines using GitOps methodologies.
  • Manage build artifacts and repositories using JFrog Artifactory and Azure DevOps.
  • Work with GCP data services including BigQuery, AlloyDB, Cloud Storage, and Spanner.
  • Develop event-driven integrations using Pub/Sub and Kafka.
  • Implement Infrastructure as Code using Terraform.
  • Collaborate with Product, Data Engineering, and Infrastructure teams to deliver scalable AI solutions.
  • Follow GCP security, IAM, encryption, and cloud best practices throughout the development lifecycle.
    Required Qualifications
  • 5+ years of experience in Backend Development, AI/ML Engineering, DevOps, or Cloud Engineering.
  • 5+ years experience with Google Cloud Platform services including Cloud Run, GKE, BigQuery, AlloyDB, Cloud Storage, and serverless technologies.
  • 5+ years experience developing applications using Python.
  • 5+ years experience with Databricks for AI/ML and data processing workloads.
  • 5+ years experience with REST API development and Google Cloud API Gateway.
  • 5+ years experience with CI/CD, GitOps, Azure DevOps, and JFrog Artifactory.
  • 5+ years Experience implementing Infrastructure as Code using Terraform.
  • 5+ years experience with Pub/Sub or Kafka.
  • 5+ years experience of GCP IAM, encryption, and cloud security best practices.

Preferred Qualifications.

  • Strong analytical, troubleshooting, and problem-solving skills.
  • Good communication and collaboration skills.

Education

  • Bachelor's degree in Computer Science, Engineering, or a related field.

#LI-NorthAmerica

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $106,840.00 to $160,260.00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967