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Data Annotation Engineer Jobs in Indiana (NOW HIRING)

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Data Annotation Engineer information

See Indiana salary details

$49K

$140.3K

$187.5K

How much do data annotation engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data annotation engineer in Indiana is $140,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $186,500.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

Does data annotation really pay?

Data annotation engineers can earn competitive wages, often paid hourly or per task, with pay rates varying based on experience, complexity of annotations, and the platform or employer. Entry-level roles may start at minimum wage, while experienced annotators or those with specialized skills can earn higher salaries or freelance rates. Overall, data annotation can provide a reliable income, especially for remote or flexible work arrangements.

What is the highest salary for data annotator?

The highest salary for a data annotation engineer can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of annotation tasks. Senior roles or those with specialized skills in tools like Labelbox or CVAT may earn higher compensation. Salaries vary widely across companies and regions but generally reflect the technical skills required for high-quality data labeling.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to prepare it for machine learning models. They often use specialized tools and follow guidelines to ensure data quality, supporting the development of AI systems.

How hard is it to get hired by data annotation?

Getting hired as a data annotation engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require advanced degrees, but strong accuracy and consistency are important for success in the role.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Indiana? For Data Annotation Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Indiana look for? The top searched job categories for Data Annotation Engineer jobs in Indiana are:
What cities in Indiana are hiring for Data Annotation Engineer jobs? Cities in Indiana with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Indiana as of July 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $140,318 per year, or $67.5 per hour.

Robot Teleoperator (AI & Robotics)

TSMG

Indianapolis, IN

Full-time

Posted 4 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.