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Remote Grader Jobs in Texas (NOW HIRING)

Orbital

$200K - $300K/yr

... delivering legal-grade precision. We've just raised a $60m Series B to accelerate our UK/US ... The Role We are looking for an Austin-based Account Executive to join our founding remote sales ...

Learner Education

Online Science Tutor

Dallas, TX · Remote

$25/hr

... remote sessions that meet learners where they are. Role Overview We are seeking experienced and enthusiastic Science Tutors who can confidently support students from 6th grade through college level.

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All JobsGrader JobsRemote Grader JobsRemote Grader Jobs in Texas

Remote Grader information

See Texas salary details

$8

$15

$28

How much do remote grader jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote grader in Texas is $15.92, according to ZipRecruiter salary data. Most workers in this role earn between $10.77 and $18.80 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 Texas?

The most popular types of Grader jobs in Texas are:

What are popular job titles related to Remote Grader jobs in Texas?

For Remote Grader jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Grader jobs in Texas look for?

The top searched job categories for Remote Grader jobs in Texas are:

What cities in Texas are hiring for Remote Grader jobs?

Cities in Texas with the most Remote Grader job openings:

Remote Grader jobs near you
Infographic showing various Remote Grader job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $33,106 per year, or $15.9 per hour.

Military/Veteran Mental Health Experts - Remote

YO AI Labs

Houston, TX • Remote

$200 - $350/hr

Full-time

Posted 6 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.