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Data Annotation Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

$19 - $26/hr

Data Annotation & Landscape Analysis * Annotating drone orthophotos using semantic segmentation tools (CVAT) to classify land cover types (e.g., agricultural fields, settlements, vegetation) that ...

Penn State University

Research Assistant

University Park, PA · On-site

$18.75 - $26/hr

Data Annotation & Landscape Analysis * Annotating drone orthophotos using semantic segmentation tools (CVAT) to classify land cover types (e.g., agricultural fields, settlements, vegetation) that ...

Motional

Staff Front End Engineer

Pittsburgh, PA · On-site +1

$172K - $229K/yr

Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows * Build mission-critical UI systems used by a variety of ...

URBN

URBN Senior Data Scientist

Philadelphia, PA · On-site

Guide data curation and preparation strategies for fine-tuning, including dataset construction, annotation workflows, and synthetic data generation. * Analyze and benchmark model outputs for quality ...

URBN

URBN Senior Data Scientist

Philadelphia, PA · On-site

Guide data curation and preparation strategies for fine-tuning, including dataset construction, annotation workflows, and synthetic data generation. * Analyze and benchmark model outputs for quality ...

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All JobsData Annotation JobsData Annotation Jobs in Pennsylvania

Data Annotation information

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$48

How much do data annotation jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data annotation in Pennsylvania is $22.71, according to ZipRecruiter salary data. Most workers in this role earn between $15.36 and $27.04 per hour, depending on experience, location, and employer.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What are the most commonly searched types of Data Annotation jobs in Pennsylvania? The most popular types of Data Annotation jobs in Pennsylvania are:
What are popular job titles related to Data Annotation jobs in Pennsylvania? For Data Annotation jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in Pennsylvania look for? The top searched job categories for Data Annotation jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Data Annotation jobs? Cities in Pennsylvania with the most Data Annotation job openings:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,227 per year, or $22.7 per hour.

Robot Teleoperator (AI & Robotics)

TSMG

Pittsburgh, PA • On-site

Full-time

Re-posted 3 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.