1

Pattern Recognition Jobs (NOW HIRING)

The role requires exceptional pattern recognition, attention to detail, and sound independent judgment on ambiguous data points. WHAT YOU WILL DO - Review, annotate, and classify large-scale datasets ...

New

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · On-site +1

$98K - $124K/yr

Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools. * Review, analyze, and modify existing products including ...

The role requires exceptional pattern recognition, attention to detail, and sound independent judgment on ambiguous data points. WHAT YOU WILL DO - Review, annotate, and classify large-scale datasets ...

New

The ideal candidate will have a strong foundation in data analysis, pattern recognition, and data lineage, along with excellent communication skills and a collaborative mindset. Key Responsibilities

Payments Domain Expert

Prosper, TX · On-site

$225K - $250K/yr

FTE/Contract Looking for a former CTO style profile from the payments domain that has pattern recognition from doing large scale platform consolidation work in payments and can be a thought partner ...

Teaching Assitant

San Jose, CA

$16.50 - $20.75/hr

Work with early learners, preschool and elementary school students * going over phonics, sight words and blending, number counting and pattern recognition * Should be able to explain basic arithmetic ...

The role requires exceptional pattern recognition, deep knowledge of Sweden's professional landscape, and sound independent judgment on ambiguous data points. WHAT YOU WILL DO - Review, annotate, and ...

New

The role requires exceptional pattern recognition, attention to detail, and sound independent judgment on ambiguous data points. WHAT YOU WILL DO - Review, annotate, and classify large-scale datasets ...

New

The role requires exceptional pattern recognition, attention to detail, and sound independent judgment on ambiguous data points. WHAT YOU WILL DO - Review, annotate, and classify large-scale datasets ...

New

The role requires exceptional pattern recognition, attention to detail, and sound independent judgment on ambiguous data points. WHAT YOU WILL DO - Review, annotate, and classify large-scale datasets ...

New

The role requires exceptional pattern recognition, attention to detail, and sound independent judgment on ambiguous data points. WHAT YOU WILL DO - Review, annotate, and classify large-scale datasets ...

New

The role requires exceptional pattern recognition, attention to detail, and sound independent judgment on ambiguous data points. What You Will Do * Review, annotate, and classify large-scale datasets ...

New

The role requires exceptional pattern recognition, deep knowledge of Sweden's professional landscape, and sound independent judgment on ambiguous data points. What You Will Do - Review, annotate, and ...

New

The role requires exceptional pattern recognition, attention to detail, and sound independent judgment on ambiguous data points. WHAT YOU WILL DO - Review, annotate, and classify large-scale datasets ...

New

next page

Showing results 1-20

Pattern Recognition information

See salary details

$33.5K

$77.4K

$126K

How much do pattern recognition jobs pay per year?

As of Jul 11, 2026, the average yearly pay for pattern recognition in the United States is $77,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $86,000.00 per year, depending on experience, location, and employer.

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

Succeeding in the field of pattern recognition requires a strong background in mathematics, statistics, and computer science, often supported by a degree in a related field such as data science, engineering, or artificial intelligence. Familiarity with programming languages like Python or R, machine learning libraries (such as TensorFlow or scikit-learn), and relevant certifications in data analysis or machine learning are highly beneficial. Analytical thinking, attention to detail, and effective problem-solving abilities help you excel in interpreting complex data sets and identifying trends. Mastering these skills is vital for developing accurate models and extracting actionable insights from large volumes of information.

What is a Pattern Recognition job?

A Pattern Recognition job involves developing algorithms and techniques to identify regularities, structures, or trends in data. Professionals in this field work with machine learning, statistical analysis, and computer vision to recognize patterns in images, text, speech, or other datasets. These roles are common in industries such as artificial intelligence, cybersecurity, healthcare, and finance. Skills in programming, mathematics, and data science are essential for success in this field.

What are typical day-to-day responsibilities for someone working in pattern recognition?

Professionals in pattern recognition typically spend their days developing and testing algorithms, analyzing large data sets for underlying patterns, and collaborating with colleagues such as data scientists, engineers, and business analysts. They may also preprocess data, select features, and validate the accuracy of their models, continually refining their approaches based on real-world results. Communication is an important aspect, as they often need to present findings and actionable insights to both technical and non-technical stakeholders. Working in this field provides opportunities to contribute directly to solving real-world problems in areas like image analysis, fraud detection, and natural language processing.

What professions make 200,000 a year without a degree?

In the field of pattern recognition, roles such as data scientists, machine learning engineers, and AI specialists can reach or exceed $200,000 annually, especially with experience and expertise in programming, statistics, and tools like Python or TensorFlow. Many of these positions value skills and practical knowledge over formal degrees, often requiring strong problem-solving abilities and industry experience.

What professions make $500,000 a year?

In the field of pattern recognition, high-paying roles such as senior data scientists, machine learning engineers, and AI research directors can earn $500,000 or more annually, especially with extensive experience, advanced degrees, and expertise in deep learning and neural networks. These positions often require strong programming skills, knowledge of algorithms, and experience with large datasets, typically found in technology, finance, and research industries.

Why are people with ADHD good at pattern recognition?

Pattern recognition is a skill often associated with ADHD because individuals with ADHD tend to have heightened sensitivity to details and novel stimuli, which can enhance their ability to identify patterns quickly. This skill can be valuable in roles like pattern recognition where noticing subtle differences and connections is essential, especially when combined with strong focus and problem-solving skills. However, attention variability may require strategies to maintain consistency in tasks.

What jobs pay 4000 a week without a degree?

Pattern recognition roles in fields like data analysis, cybersecurity, or AI often pay around $4,000 weekly for experienced professionals, especially those with specialized skills in machine learning, programming, or signal processing. These jobs typically require strong technical expertise, problem-solving abilities, and sometimes certifications, but not necessarily a formal degree. High-paying freelance or contract work in tech or consulting can also reach this income level without a degree.
More about Pattern Recognition jobs
What cities are hiring for Pattern Recognition jobs? Cities with the most Pattern Recognition job openings:
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 Pattern Recognition jobs? States with the most job openings for Pattern Recognition jobs include:
Infographic showing various Pattern Recognition job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, 2% Contract, and 1% Nights. Highlights an 71% Physical, 1% Hybrid, and 28% Remote job distribution, with an average salary of $77,376 per year, or $37.2 per hour.
Senior IR Spectroscopist

Other

Re-posted 13 days ago


Job description

Senior IR Spectroscopist

Kalman and Company is seeking to hire an IR Spectroscopist. This will be a full-time position with on-site support required in Addison, TX and the Dallas Metro Area. Advanced training, experience, and knowledge in the field of infrared (IR) spectroscopy as demonstrated in the resume by a minimum of an advanced degree in applicable, scientific field.

Responsibilities:

Should have thorough knowledge of spectral systems such as an FTIR interferometer and software (Pattern Recognition) to implement an infrared line scanner (IRLS) unit. The candidate will need to be able to identify infrared spectral signatures of the atmosphere and have a clear understanding of the spectral signatures present in a compound PNNL library.

Requirements:

  • Operations, set-up, calibration, diagnostics, and inventory of IR instrumentation and materials
  • Advise the government client on spectroscopy instrumentation employment and results analysis
  • Conduct spectroscopy analysis, including report generation and presentation to senior leadership
  • Experience using GDAL routines for GIS applications
  • Experience and knowledge in developing GIS routines to support both Google Earth and ESRI data products. This knowledge is used for the implementation into various display products that can be web based or native ESRI tools.
  • Ability to develop training and test sets for application to various AI models

Minimum Requirements:

  • US Citizenship is required
  • Experience with novel IR background suppression using spectral digital filtering and pattern recognition
  • Experience in software trouble shooting airborne communications and networking
  • PhD-Level degree in Chemistry or a physical science and a minimum of 5 years of documented experience in IR spectroscopy techniques

Preferred:

  • Knowledge of software development, including C++
  • Knowledge of ENVI code for development of raster-based applications
  • Knowledge of networking and communication system operating and troubleshooting
  • Experience in FORTRAN software for computational routines, knowledge of interfacing ENVI code with C++ calling routines
  • Knowledge to develop routines for AI software including methods such as multiple discriminant analysis, neural networking, and the use of packages such as AI Google Vertex AI, TensorFlow, deep learning convolutional neural networks (CNN), and recurrent neural networks (RNN)