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Temporary Ai Data Annotation Jobs in Georgia (NOW HIRING)

Backend & AI/ML Engineer

Alpharetta, GA · On-site

$106K - $160K/yr

Req ID: 383090 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... If the position offered in temporary, the position will not be eligible for incentive compensation.

Analyze unstructured data such as text, logs, and system events to identify trends, support root ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Senior Associate AI Security Engineer

Atlanta, GA · Hybrid

$110K - $151K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Assess AI implementations for security, privacy, regulatory, operational, and data protection risks.

Showing results 41-60

Temporary Ai Data Annotation information

What is a temporary AI data annotation job?

Temporary AI Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, audio, or video for the purpose of training artificial intelligence (AI) and machine learning models. These roles are often short-term or contract positions, as they are needed for specific projects or during certain stages of data processing. Annotators play a critical role in ensuring the quality and accuracy of datasets, which directly impacts the performance of AI systems. No advanced technical skills are usually required, but attention to detail and consistency are important. These jobs may be offered remotely or on-site, depending on the employer.

What is the difference between Temporary Ai Data Annotation vs Data Labeler?

AspectTemporary Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic skills, sometimes specific software knowledge
Work EnvironmentRemote or on-site, project-basedRemote or on-site, often similar settings
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech sectors
Job FocusAnnotating data for AI trainingLabeling data for machine learning models

Temporary Ai Data Annotation involves short-term projects focused on preparing data for AI systems, while Data Labeler is a broader role that includes labeling various data types for machine learning. Both roles require similar skills and are used in tech industries, but Temporary Ai Data Annotation emphasizes project-based work specifically for AI training datasets.

What are the key skills and qualifications needed to thrive as a temporary AI data annotation specialist, and why are they important?

To thrive as a Temporary AI Data Annotation Specialist, you need keen attention to detail, strong analytical skills, and the ability to follow complex guidelines, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools like Labelbox or Prodigy, and basic computer literacy are typically required. Reliability, consistency, and the ability to work independently stand out as valuable soft skills in this role. These competencies are essential for producing high-quality, accurate data that directly impacts the effectiveness of machine learning models.

What are some common challenges faced in a temporary AI data annotation role, and how can they be managed?

One of the main challenges in a Temporary AI Data Annotation position is maintaining consistent accuracy and attention to detail, especially when working with large volumes of data. Annotation guidelines can be complex and may change depending on project requirements, so adaptability and clear communication with the team are key. Managing repetitive tasks while ensuring high-quality work can be demanding, but using productivity tools and taking regular breaks can help maintain focus. Collaborating with quality assurance leads and participating in feedback sessions are also important for continuous improvement.
What are the most commonly searched types of Ai Data Annotation jobs in Georgia? The most popular types of Ai Data Annotation jobs in Georgia are:
What are popular job titles related to Temporary Ai Data Annotation jobs in Georgia? For Temporary Ai Data Annotation jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Temporary Ai Data Annotation jobs in Georgia look for? The top searched job categories for Temporary Ai Data Annotation jobs in Georgia are:
What cities in Georgia are hiring for Temporary Ai Data Annotation jobs? Cities in Georgia with the most Temporary Ai Data Annotation job openings:
Infographic showing various Temporary Ai Data Annotation job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

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