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Freelance Remote Forensic Analyst information

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How much do freelance remote forensic analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for freelance remote forensic analyst in the United States is $86,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,500.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Remote Forensic Analyst vs Cybersecurity Consultant?

AspectFreelance Remote Forensic AnalystCybersecurity Consultant
CredentialsCertifications like GCFA, GCFE, EnCECertifications like CISSP, CISA, CEH
Work EnvironmentRemote, project-based, often for legal or law enforcement agenciesRemote or on-site, advising organizations on security measures
Employer & IndustryLaw firms, government agencies, private investigationsPrivate firms, corporations, government agencies
Search & Comparison IntentFocus on digital forensics, incident response, legal casesFocus on security strategy, risk assessment, system protection

The Freelance Remote Forensic Analyst specializes in digital investigations and legal cases, often working independently or for law enforcement. In contrast, a Cybersecurity Consultant provides broader security advice and risk management. Both roles require technical certifications but differ in focus and work environment.

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Freelance Remote Forensic Analyst jobs near you
Infographic showing various Freelance Remote Forensic Analyst job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $86,474 per year, or $41.6 per hour.

Cardiologists (Freelance - Remote) - Portland, US

Prolific

Remote

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Prolific is building the biggest pool of quality human data in the world and is seeking qualified Cardiologists to support a high-impact AI development project focused on medical image interpretation and clinical accuracy. The role involves annotating medical images and reviewing AI-generated interpretations to ensure quality and reliability in healthcare AI systems.
Responsibilities:
• Annotating medical images using your professional expertise
• Reviewing and verifying AI-generated interpretations of medical images
• Correcting inaccuracies and providing expert feedback on AI-generated responses
• Evaluating the quality, accuracy, and clinical relevance of model outputs
• Helping improve the performance of next-generation AI systems used in medical applications
Qualifications:
Required:
• Verified status as a qualified Cardiologists with relevant professional credentials
• Experience interpreting and analysing medical images and Cardiology-related data
• Strong attention to detail and the ability to assess complex medical information accurately
• A reliable, fast internet connection and access to a computer
• A PayPal account to receive payments from our clients
Company:
Building the most advanced global infrastructure for People Science. Founded in 2014, the company is headquartered in London, GBR, with a team of 51-200 employees. The company is currently Growth Stage.

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