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How much do accelerate learning jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for accelerate learning in Alabama is $36.89, according to ZipRecruiter salary data. Most workers in this role earn between $26.78 and $47.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the accelerate learning position, and why are they important?

To thrive in an Accelerate Learning role, you generally need a solid foundation in instructional design, curriculum development, and education technology, often supported by a degree in education or a related field. Familiarity with learning management systems (LMS), digital content creation tools, and data analytics platforms is typically required. Strong communication, collaboration, and problem-solving skills help you effectively engage with educators, students, and cross-functional teams. These competencies are crucial for designing impactful learning solutions and ensuring continuous improvement in educational outcomes.

What is an accelerate learning?

An Accelerate Learning job typically involves developing and implementing educational programs, curricula, or technologies designed to enhance the learning process. Professionals in this role may work in schools, educational companies, or corporate training environments, focusing on improving student outcomes through innovative instructional methods. Responsibilities can include curriculum design, teacher training, educational research, and leveraging technology to improve learning efficiency. These roles aim to create engaging and effective learning experiences to help individuals acquire knowledge and skills more efficiently.

What kinds of projects or initiatives might someone in an accelerate learning role typically work on?

Professionals in an Accelerate Learning position often work on creating and refining educational programs, developing interactive digital resources, and implementing new teaching methodologies. You may collaborate closely with teachers, subject matter experts, and technology teams to ensure learning solutions meet both curriculum standards and student needs. Projects can include pilot-testing new educational software, facilitating professional development workshops for educators, and analyzing learning data to optimize program effectiveness. This dynamic role offers opportunities to impact classroom learning, gain expertise in emerging educational technologies, and advance to senior curriculum or program management positions.

What are the most commonly searched types of Accelerate Learning jobs in Alabama?

The most popular types of Accelerate Learning jobs in Alabama are:

What are popular job titles related to Accelerate Learning jobs in Alabama?

For Accelerate Learning jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Accelerate Learning jobs in Alabama look for?

The top searched job categories for Accelerate Learning jobs in Alabama are:

Accelerate Learning jobs near you
Infographic showing various Accelerate Learning job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $76,724 per year, or $36.9 per hour.

Radar Algorithm Developer

IERUS Technologies, Inc.

Huntsville, AL • On-site

Full-time

Retirement

Posted 26 days ago

Job description

Job Description
IERUS specializes in technology research, testing, and implementation with core competencies in electromagnetics phenomenology, computational analytics (algorithm acceleration and machine learning), and weapon system engineering. IERUS develops value for our defense and commercial customers through accelerations of the technology life cycle: identifying, creating, transitioning, and producing technologies with integrity of purpose and product. IERUS offers competitive compensation packages, retirement options, and benefits packages. To learn more, please visit www.ierustech.com.
IERUS participates in projects that address weapon systems engineering and the application of advanced machine learning (ML) and artificial intelligence (AI) techniques as well as RF/Optical hardware prototyping and low rate production. We generally seek to apply agile development fundamentals across our corporate portfolio to accelerate technology development timelines. The end goal being early discovery, accelerated development, and high customer engagement.
IERUS participates in projects that seek to apply advanced machine-learning (ML) and artificial intelligence (AI) to our relevant domains of expertise. Past and present areas of expertise for application of ML/AI include:
  • RADAR
    • Signal processing, system design, operational optimization, detection, discrimination, and tracking
  • RF/EO/IR
    • Signal processing, system design, signatures, tracking, and testing
  • Electronic Warfare (EW)
    • System design, research, testing, counter-measures
  • Antennas
    • System design and testing
  • Image processing
    • Segmentation, recognition, and denoising
  • Critical infrastructures
    • Process control systems, situational awareness, cyber security, anomaly detection
  • Vehicles and vessels
    • Situational awareness, cyber security, anomaly detection
  • ML/AI R&D
    • Algorithm development, GPU acceleration, global and local optimization of complex and fused data, adversarial ML, network architecture and computability

Minimum Educational Experience:
  • MS degree in Electrical Engineering, Computer Science, Applied Mathematics, Statistics, or related field, plus 2+ years of experience in applying engineering solutions featuring AI/machine-learning, to the problem types described above
  • OR: BS degree in Electrical Engineering, Computer Engineering, or Computer Science plus 3+ years' experience in applying engineering solutions featuring AI/machine-learning, to the problem types described above

Minimum Qualifications:
  • Must be a U.S. citizen;
  • Active Secret security clearance, preferred TS clearance and TS/SCI opportunities;
  • Experience implementing machine learning solutions for engineering and scientific domains. Should be familiar with related implementation tasks such as feature selection, regression, classification, sensor-fusion, time-series analysis, missing data, optimization, recommender systems, etc.;
  • Mastery of rapid prototyping in at least 1 (preferably 2 or more) of the following scripting languages: Python, R, MATLAB, etc.;
  • Experience implementing solutions using at least 2 of the following supervised methods: SVM/SVR, fuzzy systems (TSK, etc.), tree ensemble methods (Bayesian, bagging, boosting, etc.), NNs (supervised), others;
  • Experience applying advanced math and statistics, especially optimization and related linear algebra techniques.

Preferred Qualifications:
  • PhD in Electrical Engineering, Computer Science, Computer Engineering or related field;
  • Proficiency in at least 1 hard programming language (C/C++, Java, etc.);
  • Experience implementing solutions using any of the following unsupervised methods: Clustering (k-nearest neighbor, DBSCAN, Dirichlet, etc.), autocorrelation, Deep learning methods (DNNs, CNNs, RNNs, LSTMs, etc.) and packages (TensorFlow, Theano, Torch, Caffe, Neon, etc.), GMMs, HMMs, etc.;
  • Experience with Government funding agencies and programs (e.g. DARPA, IARPA, AFRL, SBIR/STTR, RiF, etc.);
  • Publication and/or patent history of applying original solutions to relevant types of problems;
  • Experience implementing solutions using signal processing algorithms and packages;
  • TS/SCI clearance;
  • Engineering experience in the defense industry;
  • Image processing experience;
  • Radar system analysis experience;
  • RF Electronics experience;
  • Antenna design and analysis experience;
  • Software Defined Radio (SDR) experience;
  • Analysis tool-building experience;
  • Target acquisition, tracking and/or algorithm development;
  • Advanced modeling skills and optimization;
  • Knowledge of domain specific RADAR principles, including signal processing, RCS analysis, target acquisition; target tracking, resource management, discrimination, and battle manager interfaces; and / or
  • Experience with GMD/BMDS systems, BMDS radar systems, radar simulation tests and or radar metrics.

Location:
Huntsville, AL
IERUS Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class.
IERUS Technologies participates in E-Verify.

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