Job Summary : TSMG Holding is seeking Robotics AI Data Collection Operators to support the ... TSMG is an operations partner for AI, robotics, and autonomous programs. Founded in 2018, the ...
Job Summary : TSMG Holding is seeking Robotics AI Data Collection Operators to support the ... TSMG is an operations partner for AI, robotics, and autonomous programs. Founded in 2018, the ...
AI Infrastructure Analyst
Louisville, TN · On-site
$75 - $105/hr
What the Role Is The AI Infrastructure Analyst is responsible for the day-to-day administration ... This role focuses on AI platform operations and support, not data science or model development. The ...
AI Infrastructure Analyst
Louisville, TN · On-site
$75 - $105/hr
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Data Engineer
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Help establish the foundation for AI and advanced analytics. Why Join Our Team? Be an early member of a growing technology function. Influence the future of our data ecosystem. Collaborate directly ...
Data Engineer
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Data Centre Location: Memphis, TN Top Skills' Details Power Edge Nividia Rack and Stack ... Provide on-site technical support for AI Server systems, ensuring rapid recovery and minimal ...
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You'll develop data pipelines, improve data quality, and create scalable solutions that support reporting, business intelligence, and future AI initiatives. This is an excellent opportunity for ...
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White House, TN · On-site
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You'll develop data pipelines, improve data quality, and create scalable solutions that support reporting, business intelligence, and future AI initiatives. This is an excellent opportunity for ...
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... for AI-enabled capabilities. • Provide technical troubleshooting and analysis for issues related to AI feature behavior, data inconsistencies, and platform integration. • Perform targeted ...
Senior Analyst, Data Modernization & Intelligence (GenAI & Data Lifecycle Focus)
Nashville, TN · On-site
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Quick apply
AI Manager
Memphis, TN · On-site
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Quick apply
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Job Summary : xAI is a company focused on creating AI systems that enhance humanity's understanding of the universe. They are seeking a Data Analyst to join their Infrastructure team, responsible for ...
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AI - Data Engineer
Nashville, TN · On-site
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... for AI supercomputing. RESPONSIBILITIES: * Collect, clean, integrate, and analyze high-volume power, cooling, and energy usage data from datacenter facilities and power plants * Build and refine ...
... for AI supercomputing. RESPONSIBILITIES: * Collect, clean, integrate, and analyze high-volume power, cooling, and energy usage data from datacenter facilities and power plants * Build and refine ...
... for AI supercomputing. RESPONSIBILITIES: * Collect, clean, integrate, and analyze high-volume power, cooling, and energy usage data from datacenter facilities and power plants * Build and refine ...
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Data Annotation For Ai information
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 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 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 is the difference between Data Annotation For Ai vs Data Labeler?
| Aspect | Data Annotation For Ai | Data Labeler |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote or on-site, tech companies, AI projects | Remote or on-site, data processing companies |
| Industry Usage | Artificial Intelligence, Machine Learning | Data management, content moderation |
| Job Focus | Preparing data for AI algorithms through annotation | Labeling 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 are popular job titles related to Data Annotation For Ai jobs in Tennessee?
For Data Annotation For Ai jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Annotation For Ai jobs in Tennessee look for?
The top searched job categories for Data Annotation For Ai jobs in Tennessee are:
What cities in Tennessee are hiring for Data Annotation For Ai jobs?
Cities in Tennessee with the most Data Annotation For Ai job openings:
Full-time
Re-posted 20 days ago
Job description
Job Summary:
TSMG Holding is seeking Robotics AI Data Collection Operators to support the development of next-generation intelligent robotic systems. In this role, you will interact with robotic platforms, perform physical tasks, and generate high-quality demonstration data to train advanced AI models.
Responsibilities:
• Operate robotic systems using teleoperation interfaces and specialized controllers
• Perform demonstrations of physical tasks to generate training data
• Execute repetitive tasks with a strong focus on consistency and quality
• Follow detailed operational procedures and data collection protocols
• Review recorded demonstrations and identify quality issues
• Provide feedback on robot performance and task execution
• Assist with robot setup, calibration, and workspace preparation
• Maintain accurate records of completed activities
• Meet daily productivity and quality targets
Qualifications:
Required:
• Strong attention to detail
• Good hand-eye coordination and manual dexterity
• Ability to follow structured procedures
• Comfortable performing repetitive tasks
• Basic computer skills
• Ability to stand or work at a station for extended periods
Preferred:
• Experience with robotics or automation systems
• Manufacturing, assembly, laboratory, or technical experience
• Gaming or simulation experience using controllers
• Interest in AI, robotics, or emerging technologies
Company:
TSMG is an operations partner for AI, robotics, and autonomous programs. Founded in 2018, the company is headquartered in Warsaw, POL, with a team of 201-500 employees. The company is currently Growth Stage.
TSMG Holding is seeking Robotics AI Data Collection Operators to support the development of next-generation intelligent robotic systems. In this role, you will interact with robotic platforms, perform physical tasks, and generate high-quality demonstration data to train advanced AI models.
Responsibilities:
• Operate robotic systems using teleoperation interfaces and specialized controllers
• Perform demonstrations of physical tasks to generate training data
• Execute repetitive tasks with a strong focus on consistency and quality
• Follow detailed operational procedures and data collection protocols
• Review recorded demonstrations and identify quality issues
• Provide feedback on robot performance and task execution
• Assist with robot setup, calibration, and workspace preparation
• Maintain accurate records of completed activities
• Meet daily productivity and quality targets
Qualifications:
Required:
• Strong attention to detail
• Good hand-eye coordination and manual dexterity
• Ability to follow structured procedures
• Comfortable performing repetitive tasks
• Basic computer skills
• Ability to stand or work at a station for extended periods
Preferred:
• Experience with robotics or automation systems
• Manufacturing, assembly, laboratory, or technical experience
• Gaming or simulation experience using controllers
• Interest in AI, robotics, or emerging technologies
Company:
TSMG is an operations partner for AI, robotics, and autonomous programs. Founded in 2018, the company is headquartered in Warsaw, POL, with a team of 201-500 employees. The company is currently Growth Stage.