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Internship Ai Reviewer Jobs (NOW HIRING)

... security reviews and escalate risks and exceptions as needed. * Monitor deployed solutions for ... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ...

... security reviews and escalate risks and exceptions as needed. * Monitor deployed solutions for ... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ...

... security reviews and escalate risks and exceptions as needed. * Monitor deployed solutions for ... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ...

... AI consulting brand BRDGIT. Because our work is client-facing, this internship is as much about ... Provide complete, well-documented solutions that are ready for internal review or client handoff.

... AI consulting brand BRDGIT. Because our work is client-facing, this internship is as much about ... Provide complete, well-documented solutions that are ready for internal review or client handoff.

... AI consulting brand BRDGIT. Because our work is client-facing, this internship is as much about ... Provide complete, well-documented solutions that are ready for internal review or client handoff.

Operations Internship

Morristown, NJ · On-site +1

$20 - $25/hr

OUR INTERNSHIP PROGRAM Our program provides value for our interns both during and after their ... Handle exceptions and edge cases that AI can't yet manage, applying judgment where human review is ...

OUR INTERNSHIP PROGRAM Our program provides value for our interns both during and after their ... Handle exceptions and edge cases that AI can't yet manage, applying judgment where human review is ...

In this internship, you will contribute to research projects focused on improving AI reasoning in ... Review and assess AI-generated outputs for accuracy, relevance, and alignment with professional ...

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Internship Ai Reviewer information

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How much do internship ai reviewer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for internship ai reviewer in the United States is $17.64, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Ai Reviewer vs Data Annotator?

AspectInternship Ai ReviewerData Annotator
Required CredentialsHigh school diploma or equivalent; some roles prefer related courseworkHigh school diploma or equivalent; training often provided
Work EnvironmentOffice or remote; collaborative with AI teamsOffice or remote; focused on labeling data
Industry UsageTech, AI, machine learning companiesTech, AI, data services
Common Search/ComparisonInternship Ai Reviewer vs Data Annotator

The Internship Ai Reviewer and Data Annotator roles both involve working with data in AI projects. The main difference is that Internship Ai Reviewers typically evaluate and verify AI outputs during internships, while Data Annotators focus on labeling and preparing data for training AI models. Both roles require similar credentials and are used in tech and AI industries, but their specific tasks differ slightly.

What cities are hiring for Internship Ai Reviewer jobs? Cities with the most Internship Ai Reviewer job openings:
What are the most commonly searched types of Ai Reviewer jobs? The most popular types of Ai Reviewer jobs are:
What states have the most Internship Ai Reviewer jobs? States with the most job openings for Internship Ai Reviewer jobs include:
AI Developer

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Atlas Energy Solutions rating

5.6

Company rating: 5.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

62nd of 75 rated oil and gas companies


Job description

Who We Are:
Atlas Energy Solutions Inc. (NYSE: AESI) is a leading solutions provider to the energy industry. Atlas' portfolio of offerings includes oilfield logistics, distributed power systems, and the largest proppant supply network in the Permian Basin. With a focus on leveraging technology, automation, and remote operations to enhance efficiencies, Atlas is centered around a core mission of improving human beings' access to hydrocarbons that power our lives and, by doing so, maximizing value creation for our shareholders.

How You Will Make an Impact:

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and maintains AI solutions across the business.

Responsibilities

  • AI-powered features and applications such as conversational interfaces, workflow automations, MCP servers, and computer vision.
  • Connect AI solutions with Atlas internal systems, Microsoft Graph, Azure services, third-party APIs, and operational data sources.
  • Implement testing strategies for AI behavior including prompt evaluation, regression testing, output validation, and model performance.
  • Apply authentication patterns, data protection controls, and audit logging.
  • Ensure responsible and compliant AI usage by reinforcing approved tools, data handling, and governance guardrails; coordinate privacy/security reviews and escalate risks and exceptions as needed.
  • Monitor deployed solutions for performance, reliability, and cost. Respond to incidents, troubleshoot issues, and drive continuous improvement through analytics and user feedback.

Minimum qualifications

  • Bachelor's degree (in disciplines relevant to business process improvement or technology adoption) or equivalent practical experience/training.
  • Programming: Foundational proficiency in one general purpose programming language (e.g. Python or C#) and one front end framework (e.g. React/JavaScript)
  • Comfort with REST APIs, JSON, DBs and basic data structures
  • Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through coursework, personal projects, or internship
  • AI/ML/LLM concepts or project experience
  • Eligible to work in the U.S. without future sponsorship.
  • Demonstrated experience through relevant personal projects with publicly shareable artifacts (e.g., GitHub repositories, demos, technical write-ups, or case studies).

Preferred qualifications

  • Experience building LLM-powered applications and automations
  • Exposure to cloud platforms and DevOps practices (Azure Functions, CI/CD pipelines, Git/GitHub, containers).
  • Familiarity with Microsoft tools such as Power Platform, Copilot Studio, Microsoft Foundry, Graph APIs and collaboration platforms (e.g., Teams and SharePoint)
  • Completion of relevant AI-focused certifications and/or accredited boot camps.

What You Will Love About Us

  • Best People and Team. Great Place to Work , Hire Vets, Top Place to Work For – Austin American Statesman
  • Your Well-Being is a Priority. 100% covered Medical, Dental, and Vision
  • Invest in Your Future. 401K with company match, immediate vesting
  • Relax and Recharge. Paid time off (non-rotational roles), 15+ company paid holidays

Equal Opportunity Employer Statement:
Atlas Energy Solutions is an equal opportunity employer and is committed to providing equal employment opportunity to all applicants and employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, pregnancy, gender identity or expression, sexual orientation, genetic information, citizenship status, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

This commitment applies to all aspects of employment, including recruiting, hiring, training, promotion, compensation, benefits, and termination.

Reasonable Accommodation
Atlas Energy Solutions provides reasonable accommodations to qualified individuals with disabilities and those with pregnancy-related conditions in accordance with applicable law.

Job Disclaimer
This job description is not intended to be all-inclusive and may be modified at any time based on business needs.


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