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Remote Grader Jobs in Minnesota (NOW HIRING)

Are you passionate about networking and eager to grow your career in a carrier-grade ... remote position. Application Deadline This position is anticipated to close on Aug 31, 2026. About ...

... grade through college level as needed. This is a fully remote contract role with flexible scheduling. Tutors who understand the U.S. curriculum and who can support a range of algebraic concepts can ...

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Remote Grader information

See Minnesota salary details

$9

$16

$29

How much do remote grader jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for remote grader in Minnesota is $16.73, according to ZipRecruiter salary data. Most workers in this role earn between $11.30 and $19.76 per hour, depending on experience, location, and employer.

What is a remote grader?

A Remote Grader evaluates and scores assignments, exams, or coursework submitted by students, typically for online or distance learning programs. They follow specific grading rubrics provided by the institution or instructor to ensure consistency and fairness. This role often requires subject matter expertise, attention to detail, and the ability to provide constructive feedback. Remote Graders typically work independently and communicate with instructors or educational institutions as needed.

What are the key skills and qualifications needed to thrive as a remote grader?

To thrive as a Remote Grader, you need a strong command of subject matter expertise, attention to detail, and the ability to evaluate assignments fairly, typically supported by relevant academic credentials or teaching experience. Familiarity with online grading platforms, learning management systems (LMS), and digital assessment tools is often required for effective and efficient work. Strong time management, clear written communication, and self-motivation are essential soft skills for this independent, deadline-driven role. These skills and qualities are critical for maintaining grading accuracy, meeting turnaround expectations, and supporting student learning outcomes remotely.

What are some common challenges faced by remote graders, and how can they be addressed?

Remote Graders often encounter challenges such as managing a high volume of submissions during peak periods, maintaining consistency and objectivity in grading, and balancing flexible hours with strict deadlines. Working independently can also require strong self-discipline and effective organization to stay on top of grading tasks. To address these challenges, it's helpful to establish a regular grading schedule, leverage built-in analytics or rubrics provided by the LMS, and communicate with supervisors or fellow graders when clarification or support is needed. Proactively reaching out for feedback and ongoing training can also help Remote Graders improve their performance and adapt to changing expectations.

What are the most commonly searched types of Grader jobs in Minnesota?

The most popular types of Grader jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Grader jobs?

Cities in Minnesota with the most Remote Grader job openings:

Infographic showing various Remote Grader job openings in Minnesota as of September 2026, with employment types broken down into 40% Full Time, 49% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $34,803 per year, or $16.7 per hour.

AI Academic Model Evaluator (PhD Track) - Remote

Minneapolis, MN • Remote

micro1 AI
Software Development • 11 - 50 employees

$245 - $280/hr

Part-time

Posted 17 days ago


Job description

Role Title: PhD & Academic Expert


Role Type: Contractor


Location: Remote


About the Role micro1 is partnering with a leading AI lab to hire PhDs for projects that demand deep subject-matter expertise. Whether your field is technical (STEM) or humanities (English, literature, journalism), you'll apply research-grade rigor to evaluating and improving AI model reasoning.


Scope of Work

  1. Evaluate AI model responses in your field for accuracy, depth, and reasoning quality
  2. Create expert-level prompts, reference answers, and detailed critiques
  3. Apply academic rigor to identify subtle errors and shallow reasoning
  4. Help define expert-level performance standards for AI systems


Preferred Qualifications

  1. PhD from a top-ranked university in a technical field, English, literature, or journalism
  2. Based in an English-speaking country
  3. Excellent written English and the ability to explain complex ideas clearly