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Ai Task Reviewer Jobs in Delaware (NOW HIRING)

Athena LLC

Build and integrate AI-driven features that improve task delegation workflows - for example ... They will provide guidance, code reviews, and support as you work on challenging AI projects ...

Athenago

AI Engineering Intern

Wilmington, DE

Build and integrate AI-driven features that improve task delegation workflows - for example ... They will provide guidance, code reviews, and support as you work on challenging AI projects ...

Athena LLC

... tasks by combining the strengths of highly trained assistants leveraging highly trained AI agents ... Conduct code reviews and provide constructive feedback to peers. * Implement Security Best ...

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Ai Task Reviewer information

How to become an AI reviewer?

To become an AI task reviewer, candidates typically need strong attention to detail, good understanding of AI and machine learning concepts, and experience with data annotation or content moderation. Many roles require familiarity with review platforms, basic technical skills, and the ability to follow guidelines consistently. Relevant certifications or training in AI or data labeling can enhance prospects.

Does paid AI tasks pay real money?

AI task reviewer jobs typically pay real money for completing specific tasks such as data labeling or content moderation. Payments are usually processed through online platforms or payment services like PayPal, and the amount depends on the task complexity and platform policies.

How can I make 2000 a week working from home?

As an AI task reviewer, earning $2000 a week from home typically requires consistent, high-volume work, often involving reviewing and validating AI-generated content. Building a steady workflow may involve gaining specialized skills, maintaining accuracy, and working flexible hours, but income levels depend on the number of tasks completed and pay rates, which vary by employer and platform.

Are remote AI task reviewer jobs legit?

Remote AI task reviewer jobs are legitimate positions where individuals evaluate and annotate data to improve AI systems. These roles often require attention to detail, basic computer skills, and sometimes specific training or guidelines; they are commonly offered by reputable companies in the tech industry.

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

AspectAi Task ReviewerData Annotator
Required CredentialsBasic computer skills, training in review guidelinesBasic computer skills, training in annotation tools
Work EnvironmentRemote or office-based, reviewing AI outputsRemote or office-based, labeling and annotating data
Industry UsageAI development, machine learning projectsData preparation, machine learning datasets
Search & Comparison IntentUnderstanding review roles in AI projectsUnderstanding data labeling roles in AI

The main difference between an Ai Task Reviewer and a Data Annotator lies in their roles within AI development. Ai Task Reviewers focus on evaluating and validating AI outputs, ensuring quality and accuracy, while Data Annotators are responsible for labeling and preparing data used to train AI models. Both roles are essential in the AI industry, often requiring similar skills but serving different functions in the data pipeline.

What are popular job titles related to Ai Task Reviewer jobs in Delaware? For Ai Task Reviewer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Ai Task Reviewer jobs in Delaware look for? The top searched job categories for Ai Task Reviewer jobs in Delaware are:
What cities in Delaware are hiring for Ai Task Reviewer jobs? Cities in Delaware with the most Ai Task Reviewer job openings:
Ai Task Reviewer jobs near you
Infographic showing various Ai Task Reviewer job openings in Delaware as of June 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 84% In-person, and 16% Remote job distribution.

AI Engineering Intern

Athena LLC

On-site, Remote

Full-time

Posted 5 days ago

Job description

At Athena, we empower possibility through transformative delegation. Our mission is to build the world's premier delegation platform, combining the strengths of exceptional Executive Assistants with advanced AI technologies to save our clients millions of hours each year.
Role Overview
The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to improve task delegation workflows, instruction generation, and automate agentic processes. This role will also contribute to building and improving AI agentic systems that can reason through tasks, use tools, and support more reliable task execution across Athena workflows. You will play a crucial role in prototyping, developing, and deploying cutting-edge AI features that directly impact client productivity and efficiency.
Responsibilities
  • Assist in developing and fine-tuning large language models (LLMs) to better understand and generate instructions for complex tasks. You'll experiment with model parameters and training data to improve performance.
  • Build and integrate AI-driven features that improve task delegation workflows - for example, creating intelligent agents that break down client requests into actionable steps for our team.
  • Collaborate with senior AI engineers to prototype systems that use AI for agentic workflows, enabling the platform to automatically handle or delegate routine instructions.
  • Support the development of AI agentic components such as task planning, tool use, memory, prompt workflows, and orchestration logic to help agents operate more effectively in real-world scenarios.
  • Evaluate model outputs for accuracy and usefulness. Develop tests and metrics to assess how well the AI-generated instructions or recommendations are performing in real-world scenarios.
  • Help build lightweight evaluation harnesses and experiments to test agent behavior, workflow reliability, and the quality of AI-generated task execution.
  • Work cross-functionally with product and software engineers to implement AI solutions into the Athena platform. Communicate technical findings and iterate on solutions based on user feedback.

Qualifications
  • Currently pursuing (or recently completed) a degree in Computer Science, Stats, or related field, with coursework in machine learning or artificial intelligence.
  • Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch). Comfortable with data structures, algorithms, and writing clean, efficient code.
  • Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep Learning). Familiarity with concepts of training, fine-tuning, and evaluating models.
  • Knowledge of natural language processing techniques. Understanding how large language models work and experience using or implementing NLP models.
  • Interest in AI agentic systems, including areas such as prompt design, tool use, workflow orchestration, multi-step reasoning, or evaluation of LLM-based systems.
  • Ability to break down complex problems and experiment with creative AI solutions. Eagerness to learn new technologies and frameworks quickly.

Preferred Qualifications
  • Previous projects or internship experience involving machine learning or AI (especially work with LLMs or NLP projects).
  • Experience with ML ops or model deployment (e.g. using cloud AI services, Docker, REST APIs for model serving).
  • Familiarity with concepts like reinforcement learning, prompt engineering for LLMs, or building multi-agent systems.
  • Experience with data preprocessing pipelines, and working with datasets relevant to language models or automation tasks.
  • Exposure to agent evaluation, prompt pipelines, orchestration frameworks, or AI systems that interact with external tools or APIs is a plus.
  • Awareness of the latest trends and research in AI/ML (new model architectures, papers, etc.), showing a passion for staying up-to-date in the field.

Benefits
  • You will be mentored by Athena's AI and software engineering experts. They will provide guidance, code reviews, and support as you work on challenging AI projects, ensuring you learn best practices in the field.
  • Expect to engage with cutting-edge AI technology. You'll contribute to pioneering projects (like improving AI-driven delegation) that could become core Athena offerings, giving you tangible achievements to highlight in your career.
  • Be part of a collaborative, forward-thinking team. Interns at Athena are included in all aspects of company life - from daily stand-ups to social outings - receiving the same respect and perks as full-timers.
  • This internship will enhance your practical AI skills and professional network. You'll leave with a deeper understanding of how AI can automate and improve real-world processes, and you may earn opportunities for future employment at Athena.com based on your performance.

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