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Full Time Ai Reader Jobs (NOW HIRING)

Head of Marketing

$175K - $200K/yr

... role to a full time employee position. We have a strong foundation and now we need a marketing ... the Science of Reading ecosystem. * Bring data discipline to the function. * Use AI-enabled ...

... role to a full time employee position. We have a strong foundation and now we need a marketing ... the Science of Reading ecosystem. * Bring data discipline to the function. * Use AI-enabled ...

GEN AI Engineer II

Phoenix, AZ · On-site

$114K - $137K/yr

Skillful in developing and maintaining detailed, easy-to-read documentation including data ... Employment Type: FULL_TIME

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Full Time Ai Reader information

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$11

$19

$33

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

As of Aug 25, 2026, the average hourly pay for full 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 a full time AI reader?

A Full Time AI Reader is a professional who specializes in reading, analyzing, and interpreting large volumes of content generated or processed by artificial intelligence systems. Their role may include reviewing AI-generated texts, ensuring quality and accuracy, providing feedback for machine learning improvements, and sometimes summarizing or categorizing information. These roles are increasingly found in industries leveraging AI for content moderation, data annotation, or automated reporting. They play a key role in bridging the gap between automated outputs and human understanding. As AI becomes more prevalent, the demand for such positions is growing.

What does a full time AI reader do?

As a Full Time AI Reader, your daily tasks often involve closely reviewing and evaluating outputs generated by AI systems, such as summarizations, content suggestions, or automated reports. You will collaborate with data scientists, machine learning engineers, and product managers to provide feedback on AI-generated content, helping to refine algorithms and ensure accuracy. This role requires strong attention to detail, analytical thinking, and effective communication skills, as you’ll regularly discuss findings and recommendations with cross-functional teams. Over time, you may also contribute to developing best practices and guidelines for AI content evaluation.

What skills and qualifications are needed to thrive as a full time AI reader?

To thrive as a Full Time AI Reader, you need strong analytical skills, critical thinking, and a background in linguistics, data analysis, or computer science. Familiarity with AI tools, natural language processing (NLP) systems, and data annotation platforms is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for this role. These skills ensure accurate data interpretation, high-quality outputs, and seamless collaboration with AI development teams.

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

AspectFull Time Ai ReaderPart Time Ai Reader
Work HoursTypically 35-40 hours per weekFewer hours, often flexible
CredentialsBasic reading or language skills, sometimes certificationsSimilar credentials, often less experience required
Work EnvironmentOffice or remote, consistent scheduleFlexible, part-time settings
Employer UsageFull-time staffing for ongoing projectsSupplementary or temporary roles

Full Time Ai Readers work regular hours with consistent schedules, often employed full-time for ongoing projects. Part Time Ai Readers have flexible hours, usually working fewer hours per week, ideal for supplementary roles. Both roles require similar skills and credentials, but differ mainly in hours and employment structure.

More about Full Time Ai Reader jobs

What are the most commonly searched types of Ai Reader jobs?

The most popular types of Ai Reader jobs are:

Infographic showing various Full Time Ai Reader job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $41,077 per year, or $19.7 per hour.

Manager of Artificial Intelligence

Weekday AI

New York, NY • On-site

Full-time

Re-posted 12 days ago


Job description

This role is for one of the Weekday's clientsMin Experience: 10 years
Location: New York
JobType: full-time
AI Delivery Manager
NYC, NY - Onsite Only
Full-Time (FTE) Opportunity
Important Notes (Read Before Applying)
Must be currently local to NYC, NY
Candidates outside NY will NOT be considered
No relocation support available
C2C and 1099 not accepted (FTE/W2 only)
Onsite role / Hybrid role
About the Role
We are hiring a high-impact AI Delivery Manager (10-15 years experience) to lead enterprise-level AI/ML & GenAI programs from concept to production.
This role is ideal for someone who thrives in global delivery environments, manages large-scale programs, and can scale AI solutions across enterprise ecosystems.
Requirements
Key Responsibilities
  • Lead end-to-end delivery of AI/ML & GenAI initiatives (POC → Production)
  • Manage programs across:
  • LLM applications (RAG, Agents, Copilots)
  • Data science & ML deployments
  • AI-driven automation initiatives
  • Drive program governance, KPIs, and delivery excellence
  • Partner with senior stakeholders (CTO, CIO, Product Leaders)
  • Manage global/distributed teams across engineering & data
  • Ensure on-time, high-quality, cost-efficient delivery

Required Experience
  • 10-15 years in Program/Delivery Management
  • Proven track record managing large-scale enterprise programs
  • Hands-on exposure to AI/ML/GenAI projects (1-3+ years)
  • Strong experience in:
  • Global delivery models
  • Stakeholder management
  • Budget & portfolio ownership
  • Background in data platforms or enterprise systems preferred

Technical Exposure (Preferred)
  • GenAI tools (LangChain, LLM frameworks, AI copilots)
  • Cloud platforms (AWS / Azure / GCP)
  • MLOps, data pipelines, and AI architecture

If you're a local NYC candidate with strong AI delivery experience, let's connect!
Must-have skills
AI manager
Good-to-have skills
Senior AI manager