ZipRecruiter

Log In

1

Voyager Learning Jobs in Texas (NOW HIRING)

Cambium Learning Group

Editorial Assistant

Dallas, TX · On-site +1

... Voyager Sopris Learning ® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive ...

Cambium Learning Group

Senior Psychometrician

Dallas, TX · On-site +1

... Voyager Sopris Learning ® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive ...

Cambium Learning Group

Project Coordinator

Dallas, TX · On-site +1

... Voyager Sopris Learning ® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive ...

Cambium Learning Group

Financial Analyst

Dallas, TX · On-site +1

... Voyager Sopris Learning ® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive ...

Cambium Learning Group

Project Coordinator

Dallas, TX · On-site +1

... Voyager Sopris Learning ® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive ...

Cambium Learning Group

Proposal Coordinator

Dallas, TX · On-site +1

... Voyager Sopris Learning ® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive ...

next page

Showing results 1-20

All JobsVoyager Learning JobsVoyager Learning Jobs in Texas

Voyager Learning information

See Texas salary details

$4

$21

How much do voyager learning jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for voyager learning in Texas is $21.09, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $21.06 per hour, depending on experience, location, and employer.

What is Voyager Learning?

Voyager Learning is an educational company that develops research-based curriculum and instructional materials for K-12 students. Their programs focus on reading, math, and intervention, aiming to help educators improve student outcomes through evidence-based strategies and professional development. Voyager Learning is widely used in schools to support struggling learners and enhance classroom instruction.

How does a Voyager Learning professional typically collaborate with teachers and school administrators to implement educational programs?

Professionals working in Voyager Learning often collaborate closely with teachers and school administrators to customize and implement educational programs tailored to student needs. This involves conducting training sessions, providing ongoing support, and gathering feedback to ensure the effective integration of Voyager’s digital curriculum and assessment tools. Regular communication with school staff helps address challenges, monitor student progress, and adjust instructional strategies. The role requires strong interpersonal skills and adaptability, as professionals frequently work with diverse teams across multiple schools or districts.

What are the key skills and qualifications needed to thrive as a Voyager Learning professional, and why are they important?

To thrive in a role at Voyager Learning, you need a solid background in education, curriculum development, or instructional design, often supported by a degree in education or a related field. Familiarity with learning management systems (LMS), digital curriculum platforms, and data analytics tools is typically required. Strong communication, creativity, and adaptability help professionals collaborate with educators and address diverse learner needs. These skills are crucial for delivering effective, technology-driven educational solutions that improve student outcomes.

What is the difference between Voyager Learning vs Education Coordinator?

AspectVoyager LearningEducation Coordinator
Required CredentialsTypically a bachelor's degree in education or related fieldBachelor's degree often required; some roles prefer a master's in education or administration
Work EnvironmentEducational institutions, training centers, or online learning platformsSchools, districts, or educational organizations
Employer & Industry UsageUsed by organizations providing educational programs and trainingCommonly employed in schools and educational institutions for program management

Voyager Learning and Education Coordinator roles both focus on educational settings, but Voyager Learning often emphasizes curriculum development and online learning, while Education Coordinators manage educational programs and staff. Understanding these differences helps job seekers target the right opportunities in the education industry.

What are popular job titles related to Voyager Learning jobs in Texas?

For Voyager Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Voyager Learning jobs in Texas look for?

The top searched job categories for Voyager Learning jobs in Texas are:

Voyager Learning jobs near you
Infographic showing various Voyager Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $43,872 per year, or $21.1 per hour.

Machine Learning Software Engineer II

Dallas, TX • On-site, Remote

Cambium Learning Group
E-Learning • 1 - 5K employees

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

10th of 246 rated software companies

Great coworkers

Good employer

Recommended by parents

Learn more about Cambium Learning Groupexternal

$89K - $123K/yr

Full-time

Re-posted 27 days ago

Job description

Cambium Learning® Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction. Using a research-based, personalized approach, Cambium Learning Group delivers SaaS resources and instructional products that engage students and support teachers in fun, positive, safe and scalable environments. These solutions are provided through Learning A-Z® (online differentiated instruction for elementary school reading, writing and science), ExploreLearning® (online interactive math and science simulations, a math fact fluency solution, and a K-2 science solution), Voyager Sopris Learning® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive homeschool education and programs for literacy and science). We believe that every student has unlimited potential, that teachers matter, and that data, instruction, and practice are the keys to success in the classroom and beyond.
Job Overview:
We are seeking a talented Machine Learning Engineer II to join our CAI machine learning and scoring development team. In this role, you will be the crucial bridge between applied research and production systems. Working alongside a cross-functional group of mathematicians, computer scientists, psychometricians, and statisticians, you will design and deploy custom machine learning solutions for our clients and internal platforms.
The ideal candidate is a full-stack ML practitioner who is equally comfortable discussing algorithmic design with researchers and architecting scalable, low-latency production systems. You will own the full software development lifecycle-transforming research prototypes into optimized, production-ready solutions using modern AWS infrastructure such as SageMaker, ECS, and Lambda, with an emphasis on high-throughput inference and PyTorch-to-ONNX model optimization.
Job Responsibilities:
  • Full-Lifecycle ML Development: Lead the transition of machine learning models from theoretical prototypes into scalable, high-performance production systems.
  • AWS Cloud Architecture & Deployment: Architect and deploy ML solutions utilizing AWS ECS (Elastic Container Service) for containerized workloads and AWS Lambda for serverless, event-driven inference pipelines.
  • Model & Inference Optimization: Optimize PyTorch models for production deployment by converting them to ONNX formats. Apply advanced inference optimization techniques (quantization, pruning, ONNX Runtime) and memory-efficient attention mechanisms like Flash Attention to minimize latency and maximize throughput.
  • Infrastructure & Engineering Best Practices: Champion infrastructure best practices for machine learning systems, establishing reliable CI/CD pipelines, and ensuring robust, secure, and reproducible deployments across the AWS ecosystem.
  • Algorithm Engineering: Design, develop, and evaluate algorithms that generate descriptive, diagnostic, predictive, and prescriptive insights from both structured and unstructured data.
  • Robust Software Engineering: Write clean, efficient, and well-tested code. Complete rigorous testing, debugging, and documentation to ensure seamless installation and long-term maintenance.
  • Cross-Functional Collaboration: Actively participate in research discussions, requirements gathering, and system design alongside domain experts to build tailored scoring and ML solutions.

Job Requirements:
  • Experience: 2-5 years of industry experience in Machine Learning Engineering, Software Engineering, or Data Science, with a proven track record of architecting and deploying models to production.
  • Cloud & MLOps Infrastructure: Deep, hands-on experience with the AWS ecosystem, specifically AWS ECS and Lambda. Solid understanding of containerization (Docker) and event-driven architectures.
  • Programming Proficiency: Strong proficiency in modern programming languages used in ML (e.g., Python, C++, Java) and familiarity with industry-standard coding practices.
  • ML Frameworks & Advanced Optimization: Hands-on experience with PyTorch and other machine learning libraries (e.g., Scikit-Learn, TensorFlow). Deep understanding of model optimization pipelines, including PyTorch to ONNX conversions, ONNX Runtime, and scaling attention mechanisms (e.g., Flash Attention).
  • Data Systems: Experience working with large-scale computing frameworks, data analysis systems, and relational/non-relational databases.

Nice to Have's:
  • AWS SageMaker: Experience utilizing AWS SageMaker for managed model training and hosting.
  • Advanced LLMOps & Fine-Tuning: Hands-on experience applying modern parameter-efficient fine-tuning methods (such as LoRA and qLoRA) to large language models.
  • AI Agents: Experience building, integrating, and deploying autonomous or semi-autonomous AI agents to automate complex workflows and connect ML models with external tools/APIs.
  • NLP Expertise: Proven experience and familiarity with deep learning technologies applied specifically to Natural Language Processing (NLP) and complex text-based modeling.
  • Cross-Disciplinary Collaboration: Experience collaborating with specialized researchers (e.g., psychometricians, statisticians) to operationalize complex mathematical concepts.
  • Infrastructure as Code: Experience implementing IaC using tools like Terraform or AWS CloudFormation.
  • Model Monitoring: Experience setting up comprehensive model monitoring systems to detect data drift, concept drift, and model degradation in production AWS environments.

To apply for this opportunity, simply click on the "Apply" button and submit a cover letter and resume.
An Equal Opportunity Employer
We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.

What Cambium Learning Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply