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Data Annotation Jobs in Pennsylvania (NOW HIRING)

Forhyre

Prompt Engineers

Philadelphia, PA · On-site

Solid knowledge of data collection, preprocessing, and annotation for prompt development. * Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face.

Slipstream IT

Statistical Analytical Programmer

PA · On-site +1

Strong programming skills in SAS , with R experience beneficial for data analysis, programming, and statistical workflows. Strong documentation skills, including code annotation, traceability, and ...

The Pennsylvania State University

Previous experience with data analysis or annotation at any level You will work up to 20 hours/week during the fall and spring semesters and have the opportunity to work up to 40 hours/week over the ...

The Pennsylvania State University

$12.50/hr

This study will teach the students the skills of synthetic literature review, close reading and annotation, refined search methods, data analysis and display, and support writing towards publication.

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... data into useful features for classification algorithms, as well as implement the latest technology ... Ability to work with taxonomy experts to create and validate dataset annotation * Use well-formed ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... data into useful features for classification algorithms, as well as implement the latest technology ... Ability to work with taxonomy experts to create and validate dataset annotation * Use well-formed ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... data into useful features for classification algorithms, as well as implement the latest technology ... Ability to work with taxonomy experts to create and validate dataset annotation * Use well-formed ...

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All JobsData Annotation JobsData Annotation Jobs in Pennsylvania

Data Annotation information

See Pennsylvania salary details

$8

$22

$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.

Prompt Engineers

Forhyre

Philadelphia, PA • On-site

Full-time

Re-posted 18 days ago

Job description

We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI) revolution. Our mission is to create intelligent solutions that transform industries and drive innovation. We are seeking a talented and motivated Prompt Engineer to join our dynamic team and play a pivotal role in shaping the future of AI.

Role Overview:

As a Prompt Engineer, you will be a key member of our AI development team, responsible for designing and developing high-quality prompts that drive our AI models and algorithms. Your expertise in crafting effective and engaging prompts will be essential in enhancing the performance and capabilities of our AI systems.

Responsibilities:

  • Collaborate with AI researchers and developers to understand project requirements and objectives.
  • Design and create a diverse range of prompts tailored to specific AI tasks and applications.
  • Develop creative and innovative ways to generate effective prompts that improve model performance.
  • Conduct extensive research to identify and curate relevant data sources for prompt development.
  • Ensure the prompts are designed to elicit desired responses and achieve the desired outcomes.
  • Optimize and fine-tune prompts based on continuous testing and feedback from AI models.
  • Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy.
  • Stay up-to-date with the latest advancements in natural language processing and AI technologies.
  • Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
  • Proven experience in working with natural language processing and AI technologies.
  • Strong understanding of AI models, algorithms, and neural networks.
  • Experience in prompt engineering, creative writing, or content creation is a plus.
  • Proficiency in programming languages such as Python or JavaScript.
  • Solid knowledge of data collection, preprocessing, and annotation for prompt development.
  • Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face.
  • Strong analytical and problem-solving skills with a keen eye for detail.
  • Excellent communication and collaboration skills to work effectively in a team environment.
  • Passion for innovation and a keen interest in staying updated with the latest AI trends.

Join us in shaping the future of AI as a Prompt Engineer and be part of a dynamic team that is pushing the boundaries of what AI can achieve.