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Ai Evaluator Jobs (NOW HIRING)

Innodata Inc.

AI Evaluator - Flexible Hours

$15/hr

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.

Mercor

AI Evaluator - Software Expert

New York, NY · Remote

$80 - $120/hr

Software / AI / IT / data Evaluator Type: Contract Compensation: $80-$120/hour Location: Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality rubrics.

Mercor

Compliance AI Evaluator - Finance

New York, NY · Remote

$80 - $120/hr

Compliance / regulatory response with financial-services AI Evaluator Type: Contract Compensation: $80-$120/hour Location: Remote Role Responsibilities * Evaluate AI-generated artifacts against ...

Mercor

Financial Compliance AI Evaluator

New York, NY · Remote

$80 - $120/hr

Compliance / regulatory response with financial-services AI Evaluator Type: Contract Compensation: $80-$120/hour Location: Remote Role Responsibilities * Evaluate AI-generated artifacts against ...

Mercor

Compliance AI Evaluator - Finance

New York, NY · Remote

$80 - $120/hr

Compliance / regulatory response with financial-services AI Evaluator Type: Contract Compensation: $80-$120/hour Location: Remote Role Responsibilities * Evaluate AI-generated artifacts against ...

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How much do ai evaluator jobs pay per year?

As of Aug 18, 2026, the average yearly pay for ai evaluator 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?

An AI Evaluator assesses the performance, accuracy, and relevance of artificial intelligence models, often focusing on language models, search engines, or recommendation systems. They review AI-generated responses, ensuring they align with human expectations and industry standards. Evaluators may follow specific guidelines to rate or provide feedback on outputs, helping improve AI functionality. This role typically requires analytical skills, attention to detail, and proficiency in the target language. Many AI Evaluators work remotely on a contract or freelance basis.

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

To thrive as an AI Evaluator, you need a solid understanding of machine learning concepts, data analysis, and critical thinking, often supported by a degree in computer science, data science, or a related field. Familiarity with annotation tools, model assessment platforms, and sometimes programming languages like Python is highly advantageous. Attention to detail, strong communication skills, and the ability to provide constructive feedback are essential soft skills. These competencies are crucial for accurately assessing AI model outputs and collaborating with development teams to improve system performance.

What are some typical challenges an AI evaluator faces in their daily work?

AI Evaluators often encounter complex data or ambiguous responses that require nuanced judgment to assess accurately. Adapting to rapidly evolving guidelines and learning new toolsets as AI projects progress is also common. Routine tasks may include evaluating AI-generated outputs for relevance and bias, documenting errors, and discussing findings with engineers or linguists. While the work is intellectually stimulating, it demands precision and flexibility to ensure models meet high-quality standards.

How do you become an AI evaluator?

To become an AI evaluator, candidates typically need a background in computer science, data analysis, or related fields, along with strong analytical skills. Experience with machine learning tools, programming languages like Python, and understanding of AI models are often required, and some roles may require familiarity with data annotation or labeling platforms. Certifications in AI or data science can enhance prospects, and the work usually involves evaluating AI outputs for accuracy and bias.

How much do AI evaluators make?

AI evaluators typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of tasks. Some roles may offer freelance or part-time opportunities with flexible schedules, and higher pay is often associated with specialized skills or certifications in AI and data annotation.
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Ai Evaluator jobs near you
Infographic showing various Ai Evaluator 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 $65,471 per year, or $31.5 per hour.

AI Evaluator - Flexible Hours

Innodata Inc.

Remote

$15/hr

Full-time, Part-time

Re-posted 24 days ago

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

163rd of 245 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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