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Data Annotation For Ai Jobs in Georgia (NOW HIRING)

This position is ideal for candidates with strong attention to detail, excellent hand-eye ... Support data annotation and quality validation activities * Maintain accurate operational records ...

This position is ideal for candidates with strong attention to detail, excellent hand-eye ... Support data annotation and quality validation activities * Maintain accurate operational records ...

... looking for optimization and improvement opportunities * Data annotation and quality review ... We use the latest in AI/ML technology to help our customers break new ground at scale. We are a ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows * Develop and optimize RAG (Retrieval Augmented ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows * Develop and optimize RAG (Retrieval Augmented ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows * Develop and optimize RAG (Retrieval Augmented ...

Senior AI Data Engineer

Atlanta, GA · On-site

$121K - $151K/yr

The base pay range for this role is estimated to be $121,200.00 - $151,500.00 at the time of ... Evolve the Enterprise Data Platform into an AI-native platform by enabling intelligent discovery ...

Senior AI Data Engineer

Atlanta, GA · On-site

$121K - $151K/yr

The base pay range for this role is estimated to be $121,200.00 - $151,500.00 at the time of ... Evolve the Enterprise Data Platform into an AI-native platform by enabling intelligent discovery ...

Senior AI Data Engineer

Atlanta, GA · On-site

$121K - $151K/yr

The base pay range for this role is estimated to be $121,200.00 - $151,500.00 at the time of ... Evolve the Enterprise Data Platform into an AI-native platform by enabling intelligent discovery ...

Define technical direction for AI-ready data products including vector stores, embedding pipelines, and RAG-ready structured/unstructured data. * Adopt emerging LLM orchestration frameworks ...

Showing results 41-60

Data Annotation For Ai information

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

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

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

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
What are popular job titles related to Data Annotation For Ai jobs in Georgia? For Data Annotation For Ai jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Data Annotation For Ai jobs? Cities in Georgia with the most Data Annotation For Ai job openings:
Infographic showing various Data Annotation For Ai job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Robot Teleoperator (AI & Robotics)

TSMG

Atlanta, GA • On-site

Full-time

Re-posted 9 days ago


Job description

About the Role

We are seeking Robot Teleoperators to support next-generation robotics and AI programs.

In this role, you will remotely operate and supervise robotic systems through advanced control interfaces, helping robots perform real-world tasks safely and efficiently. Your work will directly contribute to the development and validation of intelligent robotic systems used across manufacturing, logistics, retail, and service environments.

This position is ideal for candidates with strong attention to detail, excellent hand-eye coordination, and the ability to remain focused in fast-paced operational environments.

What You'll Do
Robot Operations
  • Operate robots using teleoperation consoles, controllers, and monitoring systems
  • Monitor live video feeds and robot telemetry
  • Perform real-time movement adjustments and task execution
  • Ensure safe and efficient robot operation during active sessions
  • Execute operational procedures according to established guidelines
Data Collection & Quality
  • Capture operational data during robot activities
  • Document observations and system performance
  • Identify anomalies, operational issues, or task failures
  • Support data annotation and quality validation activities
  • Maintain accurate operational records and logs
Continuous Improvement
  • Provide feedback on robot performance and usability
  • Assist engineering teams in identifying opportunities for improvement
  • Participate in testing of new workflows and operational procedures
What We're Looking For
Required
  • Strong hand-eye coordination
  • Excellent attention to detail
  • Ability to maintain concentration for extended periods
  • Basic computer proficiency
  • Ability to follow detailed operating procedures
  • Strong communication skills
Preferred
  • Experience with gaming consoles, simulation platforms, or real-time control systems
  • Experience in robotics, AV/ADAS, drones, automation, or technical operations
  • Experience working in shift-based environments
  • Familiarity with multi-monitor workstations
Why Join Us
  • Work directly with cutting-edge robotics technology
  • Gain experience in one of the fastest-growing technology sectors
  • Structured training and career development opportunities
  • Collaborative environment with engineering and operations teams
  • Opportunity to contribute to the future of intelligent machines

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.