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Entry Level Pattern Recognition Jobs (NOW HIRING)

Nature of Work The Data Warehouse Specialist 1 position is an entry-level position that serves as a ... Moves beyond raw visualization to create a narrative Uses pattern recognition to highlight outliers ...

Job Summary Data Analyst 1 is an entry-level, developmental role designed to build foundational ... Basic understanding of analytics (statistical analysis, pattern recognition, data interpretation ...

Job Summary Data Analyst 1 is an entry-level, developmental role designed to build foundational ... Basic understanding of analytics (statistical analysis, pattern recognition, data interpretation ...

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Phoenix, AZ · On-site

$33K/yr

Among government agencies, AHCCCS is recognized for high employee engagement and satisfaction ... With career paths for seasoned professionals in a variety of fields, entry-level positions, and ...

Experienced Tire-Tech

Monmouth, IL · On-site

$40K - $55K/yr

Assess tread levels and valve quality on tires & check wear patterns. * Mounts/demounts tires ... Must meet or exceed standards set by the industry recognized trade organizations. High School ...

Experienced Tire-Tech

Macomb, IL · On-site

$40K - $55K/yr

Assess tread levels and valve quality on tires & check wear patterns. * Mounts/demounts tires ... Must meet or exceed standards set by the industry recognized trade organizations. High School ...

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Entry Level Pattern Recognition information

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$29.5K

$48.8K

$61.5K

How much do entry level pattern recognition jobs pay per year?

As of Jul 11, 2026, the average yearly pay for entry level pattern recognition in the United States is $48,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $53,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Pattern Recognition Specialist, and why are they important?

To thrive as an Entry Level Pattern Recognition Specialist, you need foundational knowledge in mathematics, statistics, and computer science, often supported by a relevant degree or coursework. Familiarity with programming languages such as Python, machine learning libraries like scikit-learn or TensorFlow, and data analysis tools is typically required. Attention to detail, analytical thinking, and strong problem-solving skills help individuals excel in identifying trends and anomalies. These skills are crucial for accurately interpreting complex data and contributing valuable insights to data-driven decision-making processes.

What are some common challenges faced by entry-level professionals in pattern recognition, and how can they overcome them?

Entry-level professionals in pattern recognition often encounter challenges such as working with noisy or incomplete datasets, selecting appropriate algorithms, and ensuring their models generalize well to new data. To overcome these hurdles, it's important to develop strong foundational knowledge in data preprocessing, stay updated with the latest research, and seek feedback from more experienced team members. Collaborating closely with data scientists and engineers can also provide valuable insights and accelerate problem-solving.

What is an entry level pattern recognition job?

An entry level pattern recognition job typically involves analyzing data to identify patterns, trends, and anomalies using statistical and computational techniques. Individuals in this role may work with images, text, audio, or numerical data, applying algorithms to extract meaningful insights. These positions often require a foundational understanding of machine learning, data preprocessing, and basic programming skills. Entry level pattern recognition specialists support senior team members in building models, preparing datasets, and interpreting results to help solve real-world problems.

What is the difference between Entry Level Pattern Recognition vs Data Analyst?

AspectEntry Level Pattern RecognitionData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may prefer technical certificationsBachelor's degree in statistics, data science, or related field
Work EnvironmentResearch labs, tech companies, manufacturing, or security sectorsBusiness offices, consulting firms, or tech companies
Employer & Industry UsageUsed in AI, machine learning, security, and quality controlUsed in business intelligence, marketing, finance, and operations
Common Search & Comparison IntentUnderstanding entry-level roles focused on pattern recognition skillsComparing roles involving data analysis and interpretation

Entry Level Pattern Recognition involves identifying patterns in data, images, or signals, often in technical or security contexts. Data Analysts interpret data to inform business decisions. While both roles analyze data, Entry Level Pattern Recognition emphasizes pattern detection skills, whereas Data Analysts focus on data interpretation and reporting.

More about Entry Level Pattern Recognition jobs
What are the most commonly searched types of Pattern Recognition jobs? The most popular types of Pattern Recognition jobs are:
What states have the most Entry Level Pattern Recognition jobs? States with the most job openings for Entry Level Pattern Recognition jobs include:
What job categories do people searching Entry Level Pattern Recognition jobs look for? The top searched job categories for Entry Level Pattern Recognition jobs are:
Infographic showing various Entry Level Pattern Recognition job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $48,812 per year, or $23.5 per hour.
AI Automation Quality Engineer I - Hybrid

AI Automation Quality Engineer I - Hybrid

Panasonic

Irvine, CA • On-site

$69K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Overview
Who We Are:
Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity!
How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that's here to stay! With our company's history spanning over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry. And we are committed to a diverse and inclusive culture that will help our organization thrive! We seek diversity in many areas such as background, culture, gender, ways of thinking, skills and more. If you want to learn more about us visit us at www.panasonic.aero and for a full listing of open job opportunities go to www.panasonic.aero/join-us/
Responsibilities
The Position:
The AI Quality Engineer I supports the Process Assurance organization by designing, developing, and maintaining AI-enabled and automated solutions that enhance quality, compliance, and audit readiness across the software development lifecycle. In addition to Process Assurance initiatives, this role may also support AI-enabled automation efforts for other processes within the overall Global Quality organization, as priorities and capacity allow.
This role is primarily focused on AI and automation development, with the remainder portion of time contributing to core Process Assurance activities to support the Process Assurance team. The position partners closely with Quality leadership, Software Engineering, and other stakeholders to help improve efficiency, consistency, scalability, and data-driven decision-making within quality and compliance workflows.
AI & Automation Development (Primary Focus)
  • Design, develop, and maintain AI-enabled and automation solutions to support and enhance Process Assurance activities.
  • Apply AI, data analysis, and automation techniques to improve efficiency, consistency, scalability, and quality of compliance workflows.
  • Analyze and interpret software lifecycle artifacts (e.g., requirements, tests, reviews, defect records, audit artifacts) to identify gaps, risks, and improvement opportunities.
  • Develop AI-driven approaches to data analysis, metrics generation, and trend identification to support decision-making and continuous improvement.
  • Build systems that leverage historical quality data (e.g., defects, incidents, audits, corrective actions) to help identify patterns and prevent recurrence of issues.
  • Contribute to the automation and standardization of reviews, assessments, and audit-support activities while preserving appropriate human oversight and accountability.
  • Assist with root cause and corrective action analysis through data aggregation, pattern recognition, and analytical support.
  • Collaborate with Software Engineering and other stakeholders to integrate AI and automation capabilities into existing enterprise tools and workflows.
  • Identify and propose new opportunities for AI augmentation or automation within the Process Assurance function.
  • Ensure AI and automation solutions align with organizational governance, security, and quality management system requirements.
  • Support automation of Process Assurance task creation, tracking, and assignment within enterprise work management systems.
  • Support the development of AI-enabled and automated solutions for quality-related processes beyond Process Assurance, including other Global Quality functions, when aligned with organizational priorities.

Process Assurance Support (Secondary Focus)
  • Support verification activities related to quality, compliance, and traceability across the software development lifecycle.
  • Assist with execution of selected Process Assurance activities such as reviews, assessments, or data collection to support team workload as needed.
  • Participate in quality reviews and process improvement initiatives under the guidance of the Process Assurance Manager and senior team members.
  • Contribute to maintaining audit readiness by supporting preparation, organization, or analysis of quality records and metrics.
  • Collaborate with cross-functional teams to address quality-related issues and continuous improvement efforts.

The salary range of $69,000 - $115,000 is just one component of Panasonic's total package. The final offer amount may vary based on factors including but not limited to individual's knowledge, skills, experience, and location. In addition, this role may be eligible for discretionary bonuses and incentives.
Qualifications
What we're looking for:
  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field required.
  • Entry-level or early-career experience (typically 0-2 years) in one or more of the following areas:
    • Software development, scripting, or automation
    • Data analysis or analytics
    • Quality engineering, QA, or process improvement
  • Academic, intern, or project experience applying automation, data analysis, or AI concepts to real-world problems is acceptable.
  • Foundational understanding of software development lifecycles and quality assurance concepts.
  • Experience or coursework involving at least one of the following:
    • Programming or scripting (e.g., Python or similar)
    • Automation frameworks or tooling
    • Data analysis, metrics, or visualization
    • Introductory AI or machine-learning concepts
  • Ability to analyze data and technical artifacts to identify trends, patterns, or gaps.
  • Strong organizational and communication skills, with the ability to collaborate across teams.
  • Ability to learn and apply quality standards, internal procedures, and customer or regulatory requirements.
  • Demonstrated curiosity, problem-solving mindset, and interest in using automation and AI to improve processes.

Our Principles:
Contribution to Society | Fairness & Honesty | Cooperation & Team Spirit | Untiring Effort for Improvement | Courtesy & Humility | Adaptability | Gratitude
What We Offer:
  • At Panasonic Avionics Corporation we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive and flexible benefits program.
  • Paid time off: Exempt Salaried employees receive flexible paid time off. This means that there is no fixed number, range, or limit to the amount of Personal and Vacation Days that may be taken for exempt employees. Non-exempt hourly employees accrue 14 vacation days per year + 7 sick days + 3 personal days. Accrual rate increases with tenure. All employees receive 11 company paid holidays per year. We also close our offices at the corporate level in the U.S. between Christmas and New Year. For operational positions that are expected to work on holidays, we provide additional compensation for hours worked.
  • Health Insurance: Medical insurance offerings from Aetna and Kaiser (CA &HI). Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family. Dental PPO and DMO options & Vision insurance through EyeMed or VSP.
  • 401K with 50% match on up to 8% contribution, full vested from day 1.
  • Washington residents only are eligible for: Washington's Family and Medical Leave program and Washington's Paid Sick Leave program.
  • Other offerings include: Wellness Program, Counseling services, FSA & HSA, Life Insurance for employee, spouse and child, AD&D Insurance, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Legal Assistance, Pet Insurance, Identity Theft Protection, Dependent Care FLSA, Education Assistance, Commuter Program, Employee Purchase Program, Service Award Program.

All applicants are subject to Company policies, third party customer and worksite requirements, and government requirements, regarding vaccination and/or testing for COVID-19. Where permitted by applicable law, applicants may be required to be fully vaccinated with an authorized COVID-19 vaccine as a condition of employment, unless they are eligible for and obtain an exemption based on a reasonable accommodation because of a disability or a sincerely held religious belief, practice, or observance. While the Company strongly encourages COVID-19 vaccinations, it may require vaccination and/or testing for positions in which third party customer, worksite, or government requirements apply, in accordance with applicable law. At those locations where requirements apply, exemptions will be considered based on applicable law.
Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Avionics Corporate.
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