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Remote Data Annotation Analyst Jobs in Imperial, PA

PNC

Technology Solution Center Analyst

Pittsburgh, PA · Remote

As a Technology Solution Center Analyst within PNC's Service Desk organization, you will be based ... Work Environment • Fully remote with a quiet, secure workspace. • Must meet data privacy and ...

New

Data Ideology

Senior AI/ML Architect

Pittsburgh, PA · Remote

$68.75 - $92/hr

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

CivicScience

Market Research Analyst

Pittsburgh, PA · On-site +1

Build and maintain dashboards to track polling data, exporting key information to support internal ... Travel and educational opportunities This is a remote (work from home) role with preference for ...

New

CivicScience

Market Research Analyst

Pittsburgh, PA · Remote

Build and maintain dashboards to track polling data, exporting key information to support internal ... Travel and educational opportunities This is a remote (work from home) role with preference for ...

New

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Showing results 21-40

All JobsData Annotation Analyst JobsRemote Data Annotation Analyst JobsRemote Data Annotation Analyst Jobs in Imperial, PA

Remote Data Annotation Analyst information

See Imperial, PA salary details

$34.9K

$84.9K

$139.6K

How much do remote data annotation analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote data annotation analyst in Imperial, PA is $84,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $99,600.00 per year, depending on experience, location, and employer.

What is a remote data annotation analyst?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What are the key skills and qualifications needed to thrive as a remote data annotation analyst?

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.

How does a remote data annotation analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

What cities near Imperial, PA are hiring for Remote Data Annotation Analyst jobs?

Cities near Imperial, PA with the most Remote Data Annotation Analyst job openings:

Remote Data Annotation Analyst jobs near you
Infographic showing various Remote Data Annotation Analyst job openings in Imperial, PA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $84,852 per year, or $40.8 per hour.

EMR Support Analyst

Phoenix Physical Therapy

Cranberry Township, PA • Remote

Full-time

Re-posted 11 days ago

Job description

Position Summary

The EMR Support Analyst provides frontline support and operational management of the organization’s Electronic Medical Record (EMR) system. This role is responsible for user administration, data integrity, system support, and assisting with EMR enhancements, upgrades, and integrations.

The Analyst ensures high-quality service delivery, maintains compliance with healthcare regulations (including HIPAA and Medicare), and drives system efficiency through continuous improvement and automation opportunities.
 

Key Responsibilities

End-User Support & Ticket Management

  • Deliver Level I support for EMR users, including issue resolution for record corrections, case merges, and provider/cosigner updates
  • Document, track, and resolve incidents using the IT ticketing system, ensuring adherence to SLAs and KPIs
  • Identify and escalate complex issues to Level II support or vendors as needed
  • Maintain high customer satisfaction through responsive and effective support

Data & System Administration

  • Manage referral source tables, including validation, auditing, and data cleanup
  • Administer EMR user accounts, onboarding support, and non-credentialed provider setup
  • Monitor and resolve failed system processes (e.g., fax routing issues)
  • Support patient data extraction for business, marketing, and operational needs

Implementation & Optimization

  • Assist with EMR upgrades, service packs, and new feature rollouts
  • Support system testing, validation, and quality assurance processes
  • Participate in EMR implementations, including data migration and M&A integration activities
  • Collaborate with vendors to troubleshoot and resolve technical issues

Process Improvement & Automation

  • Identify opportunities to improve workflows, automation, and system efficiency
  • Assist in vendor integrations, including electronic referrals and AI-driven enhancements
  • Contribute to reporting, analytics, and metrics related to system performance and compliance

Collaboration & Communication

  • Partner with cross-functional teams to support operational and clinical needs
  • Provide reporting and insights related to referral compliance and organizational productivity
  • Maintain clear, professional communication across all levels of the organization

Compliance & Continuous Learning

  • Ensure adherence to HIPAA, Medicare, and organizational compliance standards
  • Stay current on EMR functionality, enhancements, and industry best practices
  • Actively pursue ongoing professional development and knowledge growth

Qualifications

Education & Experience

  • Bachelor’s degree in Information Technology, Business, or a related field
  • Prior experience supporting EMR/EHR systems in a healthcare environment preferred
  • Experience in a remote or distributed support environment is a plus

Technical Skills

  • Basic understanding of software development lifecycle (SDLC) and change management practices
  • Proficiency with Microsoft Office and general technical troubleshooting
  • Experience with ticketing systems and data analysis/reporting tools preferred

Core Competencies

  • Strong analytical and problem-solving skills
  • High attention to detail and commitment to data accuracy
  • Excellent verbal and written communication skills
  • Ability to prioritize, multitask, and manage time effectively in a fast-paced environment
  • Self-motivated, dependable, and team-oriented with a strong customer service mindset
  • Consistently deliver high-quality, compliant, and timely support

Apply