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Ai Evaluator Remote Jobs (NOW HIRING)

Innodata Inc.

AI Evaluator - Flexible Hours

$15/hr

It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ... evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or ...

Aston Carter

Medical Coder - Remote

Salt Lake City, UT · On-site +1

$75/hr

Medical Coder - AI Content Evaluator (Remote, U.S.) Help Shape the Future of Healthcare AI Are you a medical coding professional looking to apply your expertise in an innovative way? Join a cutting ...

Weekday AI

Technology AI Evaluation Expert

$60 - $75/hr

This is a fully remote, independent contractor opportunity with flexible working hours. Requirements Key Responsibilities Design AI Evaluation Tasks * Create realistic, multi-step benchmark tasks ...

Weekday AI

AI Evaluation Specialist

$70/hr

This is a fully remote, contract-based opportunity with flexible working hours. Requirements Key ... Familiarity with artificial intelligence, large language models, or AI evaluation methodologies.

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Ai Evaluator Remote information

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$29.5K

$65.5K

$106.5K

How much do ai evaluator remote jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai evaluator remote in the United States is $65,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $79,500.00 per year, depending on experience, location, and employer.

What is an AI evaluator remote?

AI Evaluators are professionals who assess the performance, accuracy, and relevance of artificial intelligence systems, such as chatbots or search engines. Working remotely, they review AI-generated outputs, provide feedback, and help improve algorithms by identifying errors or biases. This role typically requires strong analytical skills and attention to detail, and may involve tasks like rating responses, annotating data, or validating search results. AI Evaluators play a crucial part in ensuring that AI technologies are reliable and user-friendly.

What are the key skills and qualifications needed to thrive as an AI evaluator remote?

To thrive as an AI Evaluator (Remote), you need strong analytical skills, attention to detail, and a solid understanding of language, often supported by a bachelor’s degree or relevant experience. Familiarity with annotation platforms, data labeling tools, and sometimes basic programming or machine learning concepts is commonly required. Excellent communication, critical thinking, and the ability to work independently are valuable soft skills in this role. These skills help ensure accurate evaluation and improvement of AI systems, contributing to the development of reliable and ethical AI technologies.

What are some common challenges faced by remote AI evaluators, and how can they be managed?

Remote AI Evaluators often face challenges such as interpreting ambiguous data, maintaining focus during repetitive evaluation tasks, and communicating effectively with a distributed team. To manage these challenges, it's important to develop strong attention to detail, establish a structured daily routine, and utilize collaboration tools like Slack or project management platforms for clear communication. Regular check-ins with team leads and ongoing training also help evaluators stay aligned with project goals and quality standards.

What is the difference between Ai Evaluator Remote vs Data Annotator Remote?

AspectAi Evaluator RemoteData Annotator Remote
Required credentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work environmentRemote, flexible hoursRemote, flexible hours
Industry usageAI development, machine learningData labeling, dataset creation
Common search intentComparing roles in AI evaluationUnderstanding data annotation jobs

Ai Evaluator Remote and Data Annotator Remote roles both involve working remotely with similar skills like attention to detail. However, Ai Evaluators focus on assessing AI outputs for accuracy, while Data Annotators label data to train AI models. Both are essential in AI development but serve different functions within the industry.

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

The most popular types of Ai Evaluator jobs are:

What states have the most Ai Evaluator Remote jobs?

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What job categories do people searching Ai Evaluator Remote jobs look for?

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Ai Evaluator Remote jobs near you
Infographic showing various Ai Evaluator Remote job openings in the United States as of August 2026, with employment types broken down into 64% Full Time, 9% Part Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $65,471 per year, or $31.5 per hour.

AI Evaluator - Flexible Hours

Innodata Inc.

Remote

$15/hr

Full-time, Part-time

Re-posted 10 days ago

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

165th of 247 rated software companies

Job description

Scope of the Role: 

At Innodata, we're partnering with the world's leading technology companies to build the future of generative AI and large language models (LLMs). We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It's a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact-on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 

You'll be helping LLMs learn the intricacies of language and reasoning-not just how to write, but how to think. If you've ever dreamed of shaping the intelligence behind tomorrow's technology, this is your chance. 

This is more than just a gig-it's a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 

What You'll Own:

  • Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.  
  • Labeling elements of a piece of content rather than the content as a whole.  
  • Assigning predefined categories or labels to items.  
  • Evaluating the perceived quality and/or appropriateness of content  
  • Generating labels to advance understanding of a concept, trend etc.  
  • Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.  
  • Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.  
  • Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. 
  • Ordering or ranking items based on a set of preferences or criteria.  
  • Creating prompts or questions that will be used to generate responses from a language model or other AI system.  
  • Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).  
  • Generating responses to prompts or questions using a language model or other AI system.  
  • Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.  
  • Producing concise summaries of longer pieces of text or data.  
  • Converting spoken language or audio content into written text.  
  • Converting text or spoken language from one language to another.  
  • Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.

You'll Thrive in This Role If You Have:

  • A Bachelor's degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master's or PhD)
  • Professional or Expert level proficiency (C1/C2) in English 

The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.

What Innodata employees say

Hours and flexibility

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