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Part Time Ai Reader Jobs (NOW HIRING)

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Part Time Ai Reader information

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$11

$19

$33

How much do part time ai reader jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for part time ai reader in the United States is $19.75, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $21.63 per hour, depending on experience, location, and employer.

What is the difference between Part Time Ai Reader vs Part Time Transcriptionist?

AspectPart Time Ai ReaderPart Time Transcriptionist
Required CredentialsBasic computer skills, training in AI toolsTyping speed, audio/video editing skills
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageTech, AI development, content reviewMedia, legal, medical transcription
Common Search/ComparisonPart Time Ai Reader vs Part Time Transcriptionist

Part Time Ai Readers typically focus on reviewing and validating AI-generated content, requiring basic tech skills. Transcriptionists convert audio or video into text, often needing fast typing and listening skills. Both roles are remote and flexible but serve different industry needs and skill sets.

More about Part Time Ai Reader jobs
What cities are hiring for Part Time Ai Reader jobs? Cities with the most Part Time Ai Reader job openings:
What are the most commonly searched types of Ai Reader jobs? The most popular types of Ai Reader jobs are:
What states have the most Part Time Ai Reader jobs? States with the most job openings for Part Time Ai Reader jobs include:
Infographic showing various Part Time Ai Reader job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 18% Full Time, 68% Part Time, and 10% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $41,077 per year, or $19.7 per hour.

Senior Auto Claims Adjuster - Freelance AI Trainer

Mindrift

Virginia Beach, VA โ€ข On-site

$60/hr

Part-time

Posted 8 days ago


Job description

Please submit your CV in English and indicate your level of English proficiency.ย 

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.ย Participation isย project-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may:

  • Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance;
  • Design realistic FNOL (First Notice of Loss) scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;
  • Create test cases for coverage-scope decisions (collision vs. comprehensive) where the correct answer requires domain knowledge, not keyword matching;
  • Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral;
  • Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery;
  • Develop supervisor-escalation scenarios that test whether the agent correctly recognizes authority-limit thresholds ($25,000) and stops short of auto-approving;
  • Draft and evaluate reservation-of-rights letter scenarios, verifying language stays within the bad-faith line;
  • Validate coverage-limits math when multiple endorsements (OEM, rideshare, extended rental) stack on a single claim;
  • Document test cases clearly with correct answers, policy citations, and payout calculations.

What we look for

This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:

  • Degree in Finance, Business, Insurance, or related field โ€” or equivalent professional experience; no specific degree is required if AIC, CPCU, or comparable credentials are present, or if the candidate has 4+ years of hands-on claims adjusting experience;
  • 3+ years of hands-on auto claims adjusting, examining, or supervisory experience at a U.S. carrier, independent adjusting firm, or SIU team;
  • Ability to make coverage decisions (collision vs. comprehensive, endorsement stacking, exclusion vs. coverage grant) without looking them up;
  • Familiarity with U.S. state-specific rules โ€” comparative vs. contributory negligence states, state adjuster licensing requirements;
  • Experience reading full auto policy documents with citation discipline (able to reference a specific section, e.g. "Section IV.B.2");
  • Comfort computing payout math involving deductibles, sub-limits, and layered endorsements in Excel or equivalent;
  • Awareness of the bad-faith line and adjuster authority-limit culture;
  • Associate in Claims (AIC), CPCU, CIFI, or SCLA credential is a strong positive signal โ€” but not required if experience is solid;
  • Strong written English (C1+).

How it worksย 

Apply โ†’ Pass qualification(s) โ†’ Join a project โ†’ Complete tasks โ†’ Get paid

Project time expectationsย 

For this project, tasks are estimated to require around 10โ€“20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.ย 

Compensationย 

On this project, contributors can earn up toย $60 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.