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Remote Ai Data Collection Jobs in Reading, PA (NOW HIRING)

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Remote Ai Data Collection information

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$15

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How much do remote ai data collection jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote ai data collection in Reading, PA is $24.30, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $24.95 per hour, depending on experience, location, and employer.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What skills and qualifications are needed for a remote AI data collection specialist?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What are common challenges in a remote AI data collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are the most commonly searched types of Ai Data Collection jobs in Reading, PA?

The most popular types of Ai Data Collection jobs in Reading, PA are:

What job categories do people searching Remote Ai Data Collection jobs in Reading, PA look for?

The top searched job categories for Remote Ai Data Collection jobs in Reading, PA are:

What cities near Reading, PA are hiring for Remote Ai Data Collection jobs?

Cities near Reading, PA with the most Remote Ai Data Collection job openings:

Remote Ai Data Collection jobs near you

Senior Optimizely CMS Developer

Horizontal Talent

Pottstown, PA • Remote

$111K - $146K/yr

Full-time

Posted 24 days ago

Job description

Join a fast-moving digital marketing team that is investing heavily in modern web technology, experimentation, and data-driven growth. This Senior Optimizely Developer role is a great fit for someone who enjoys building scalable CMS solutions, launching sophisticated experiments, and using AI-assisted tools to work faster and smarter.

Responsibilities
  • Build and maintain reusable components, page templates, and content models within Optimizely CMS to help marketing teams launch web pages efficiently.
  • Design CMS architecture that supports scalability, security, and strong performance, including Core Web Vitals optimization.
  • Develop and support integrations between Optimizely CMS and enterprise platforms such as Salesforce, Marketo, Adobe Commerce, and internal systems.
  • Create and deploy advanced A/B, split, and multivariate tests in Optimizely Web Experimentation, including custom DOM manipulation and dynamic content changes.
  • Implement personalized web experiences for targeted B2B audiences and account-based marketing campaigns.
  • Partner on server-side testing and feature flagging when frontend testing is not the best fit.
  • Perform thorough cross-browser and cross-device testing to help ensure smooth, consistent user experiences with minimal flicker or layout shift.
  • Define and document best practices, technical standards, and governance guidelines for Optimizely-related work.
  • Collaborate closely with CRO, product, and design teams to evaluate ideas, prototype solutions, and translate designs into polished digital experiences.
  • Use AI-assisted development tools to accelerate coding, debugging, testing, and experimentation workflows.
Skills
  • 5+ years of full-stack web development experience.
  • At least 3+ years of hands-on experience working within the Optimizely ecosystem.
  • Strong backend development skills with C# and .NET Core/MVC, especially in Optimizely CMS environments.
  • Advanced frontend experience with HTML5, CSS3/SASS, and JavaScript, including Vanilla JS, ES6+, jQuery, React, or Vue.
  • Deep understanding of Optimizely platform concepts such as Project JS, visual tags, audience targeting, anti-flicker approaches, and caching behavior.
  • Experience building for complex B2B websites, including lead generation and gated content workflows.
  • Strong Git knowledge and familiarity with modern CI/CD workflows such as Azure DevOps or GitHub Actions.
  • Ability to work independently while also partnering effectively with cross-functional teams.
  • A proactive, solution-oriented mindset with a focus on speed, quality, and continuous improvement.
Preferred Skills
  • Active Optimizely Developer certification in CMS or Web Experimentation.
  • Experience supporting server-side experimentation and feature flagging initiatives.
  • Familiarity with UX/UI collaboration and translating wireframes or Figma designs into interactive experiences.
  • Comfort using AI tools such as GitHub Copilot or ChatGPT to support development efficiency.
  • Experience working in remote-first environments and collaborating across multiple locations.

Horizontal is committed to fostering an inclusive environment where all qualified candidates can thrive. We value diversity, equity, and inclusion as essential to building strong teams, better ideas, and better outcomes.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.

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