Support data annotation and quality validation activities * Maintain accurate operational records ... Work directly with cutting-edge robotics technology * Gain experience in one of the fastest-growing ...
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Support data annotation and quality validation activities * Maintain accurate operational records ... Work directly with cutting-edge robotics technology * Gain experience in one of the fastest-growing ...
Support data annotation and quality validation activities * Maintain accurate operational records ... Work directly with cutting-edge robotics technology * Gain experience in one of the fastest-growing ...
Support data annotation and quality validation activities * Maintain accurate operational records ... Work directly with cutting-edge robotics technology * Gain experience in one of the fastest-growing ...
Data Annotation Tech information
See Cincinnati, OH salary details
$11.76 - $13.73
3% of jobs
$13.73 - $15.70
19% of jobs
$16.25 is the 25th percentile. Wages below this are outliers.
$15.70 - $17.68
11% of jobs
$17.68 - $19.65
13% of jobs
The median wage is $20.53 / hr.
$19.65 - $21.62
11% of jobs
$21.62 - $23.59
12% of jobs
$25.37 is the 75th percentile. Wages above this are outliers.
$23.59 - $25.56
8% of jobs
$25.56 - $27.53
8% of jobs
$27.53 - $29.50
6% of jobs
$29.50 - $31.47
5% of jobs
$31.47 - $33.44
4% of jobs
$11
$21
$33
How much do data annotation tech jobs pay per hour?
As of Aug 5, 2026, the average hourly pay for data annotation tech in Cincinnati, OH is $21.92, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $26.06 per hour, depending on experience, location, and employer.
How to become a data annotation tech?
To become a data annotation tech, you typically need a high school diploma or equivalent, strong attention to detail, and familiarity with data labeling tools or software. Some roles may require basic knowledge of machine learning concepts or specific platforms like Labelbox or CVAT. Gaining experience through online courses or tutorials can also improve job prospects.
What are the key skills and qualifications needed to thrive as a data annotation tech?
To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.
What does a data annotation tech do?
A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.
Does data annotation actually pay you?
Data annotation jobs typically pay hourly or per task, with rates varying depending on the platform and complexity of the work. Many companies and platforms offer remote opportunities that provide consistent payment once tasks are completed, often requiring basic skills in data labeling tools. Payment is generally reliable for those who meet quality standards and adhere to deadlines.
What is a data annotation tech?
A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.
How much do data annotation technicians make?
Data annotation technicians typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the tasks. Many roles are entry-level and may offer flexible schedules or remote work opportunities.
What are the most commonly searched types of Data Annotation Tech jobs in Cincinnati, OH? The most popular types of Data Annotation Tech jobs in Cincinnati, OH are:
What are popular job titles related to Data Annotation Tech jobs in Cincinnati, OH? For Data Annotation Tech jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech jobs in Cincinnati, OH look for? The top searched job categories for Data Annotation Tech jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Data Annotation Tech jobs? Cities near Cincinnati, OH with the most Data Annotation Tech job openings:
Full-time
Re-posted yesterday
Job description
About the Role
What You'll DoWe 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.
Robot Operations
What We're Looking For- 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
- 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
- Provide feedback on robot performance and usability
- Assist engineering teams in identifying opportunities for improvement
- Participate in testing of new workflows and operational procedures
Required
Why Join Us- 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
- 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
- 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.