2

Entry Level Machine Learning Jobs in Kingsland, GA

Cutting Machine Operator I

Jacksonville, FL · On-site

$15 - $19/hr

Cutter I is the foundational level focused on learning cutting operations, safe equipment use ... At the entry level, the Cutter works under close direction and receives guidance from experienced ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... a solid machine learning foundation Proven record of successful statistical product delivery ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... machine learning foundation • Proven record of successful statistical product delivery • ...

Entry Level Machine Learning information

See Kingsland, GA salary details

$10

$15

$18

How much do entry level machine learning jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for entry level machine learning in Kingsland, GA is $15.17, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $16.49 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
What cities near Kingsland, GA are hiring for Entry Level Machine Learning jobs? Cities near Kingsland, GA with the most Entry Level Machine Learning job openings:
Infographic showing various Entry Level Machine Learning job openings in Kingsland, GA as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $31,551 per year, or $15.2 per hour.

$15 - $19/hr

Other

Posted 15 days ago


Job description

JOB PURPOSE

The Cutter is responsible for cutting, shaping, trimming, marking, inspecting, bundling, and preparing coated materials, fabrics, and related production materials for downstream assembly operations. This role uses hand tools, cutting tools, bench-mounted tools, power tools, die-cutting equipment, routers, grinders, and computerized cutting equipment, including the I-9000 computerized cutting machine and CNC vacuum cutting systems.
The Cutter ensures that materials are selected, positioned, cut, marked, inspected, recorded, and routed according to work orders, job specifications, cut files, patterns, templates, quality standards, and production requirements. The role directly supports production flow by ensuring that all cut parts are accurate, properly identified, defect-free where required, bundled correctly, and delivered to the appropriate work areas.
This job family is structured into three progressive levels. Cutter I is the foundational level focused on learning cutting operations, safe equipment use, material handling, basic quality checks, and work order execution. Cutter II is the fully independent level responsible for operating computerized cutting equipment, completing quality checks, making adjustments and re-cuts, improving material yield, and supporting fabric inventory control. Cutter III is the advanced technical level responsible for complex cutting operations, troubleshooting equipment and process issues, optimizing yield, training less experienced cutters, coordinating with supervisors, and supporting continuous improvement within the Cutting Department. 


POSITION STRUCTURE
The Cutter reports to the Cutting Supervisor, Production Supervisor, or Production Manager depending on department structure. The role works closely with production, assembly, quality, materials, and other manufacturing team members to ensure that cut parts are prepared accurately and on time.
At the entry level, the Cutter works under close direction and receives guidance from experienced cutters, leads, or supervisors. At the intermediate level, the Cutter works independently and is accountable for cut accuracy, work order compliance, material traceability, basic machine adjustments, and production flow. At the advanced level, the Cutter serves as a technical resource, assists with troubleshooting and workflow coordination, supports training, and helps improve cutting accuracy, yield, safety, and efficiency.
 

CORE RESPONSIBILITIES — ALL LEVELS 

The Cutter reads work orders, job specifications, cut files, templates, patterns, and layouts to determine the product, material, cut requirements, machine settings, and production priorities. The Cutter verifies that the correct material is selected and that the cut file, job specifications, or pattern matches the work order before beginning production. The Cutter prepares, unrolls, lays out, spreads, mounts, or positions material on the cutting table, CNC vacuum table, I-9000 machine, or other cutting equipment to achieve accurate cuts and efficient material use. 

The Cutter operates cutting machinery and equipment, including computerized cutting equipment, hand tools, knives, blades, scissors, power tools, bench-mounted tools, routers, grinders, die cutters, and related equipment needed to perform cutting functions. The Cutter sets or adjusts stops, guides, controls, depths, widths, and cut lengths according to scales, rules, templates, patterns, or job specifications. The Cutter activates machinery through appropriate controls, monitors cutting operations, and observes for defects, malfunctions, jamming, wrinkling, tearing, inaccurate cuts, poor markings, or other issues that may affect quality or production flow. 

The Cutter performs material and product quality checks, including inspection for cosmetic defects, stains, chips, scratches, snags, unacceptable finishes, material flaws, adhesion concerns, gauge, weight, and other required material conditions. The Cutter marks or discards defective material as appropriate, escalates quality concerns, and makes re-cuts when required. The Cutter verifies the size, shape, accuracy, marking, and quality of cut parts before releasing them to downstream production. 

The Cutter marks cutting lines, identification numbers, part markings, or other required information on products or materials to support traceability and assembly. The Cutter records material usage information such as vendor, style, color, lot number, roll number, and yardage where required. The Cutter folds, sorts, separates, bundles, labels, and transports cut parts, workpieces, and materials to designated work areas using carts or other approved material handling methods. The Cutter maintains a clean, organized, and safe workstation and performs other related production duties as assigned. 

The Cutter follows all safety rules, machine guarding requirements, PPE expectations, material handling procedures, and manufacturing protocols. The role requires careful attention to moving mechanical parts, cutting hazards, fumes or airborne particles, chemical exposure, risk of electrical shock, noise, and other manufacturing environment risks. Protective eyewear and other required PPE must be used as directed. 

PROGRESSIVE LEVELS 

Cutter I — Entry / Foundational Level 

The Cutter I is the entry-level role in the cutting job family. The primary purpose of this level is to learn and perform basic cutting, marking, trimming, folding, bundling, and material handling tasks while developing safe work habits, equipment familiarity, quality awareness, and an understanding of how cut parts support downstream assembly. 

At this level, the Cutter I reads basic work orders and follows instructions to determine the product or material to be cut. The employee assists with selecting and preparing materials, spreading or positioning material on the cutting table, marking cutting lines around templates or patterns, and operating assigned cutting equipment under supervision or with limited independence. The Cutter I may use hand tools, knives, scissors, power tools, bench-mounted tools, die-cutting equipment, or basic machine controls depending on training and authorization. 

The Cutter I inspects materials and cut pieces for visible defects, verifies basic cut accuracy, marks identification information, folds or sorts materials after cutting, trims excess material, and moves cut parts to the correct location. The employee learns how to identify common defects such as stains, chips, scratches, snags, unacceptable finishes, material flaws, inaccurate markings, wrinkling, tearing, or other issues that could affect finished product quality. The Cutter I also learns proper bundling, labeling, and routing practices to support assembly operations. 

A successful Cutter I follows safety procedures, uses equipment and materials properly, maintains a clean and organized work area, communicates issues to the supervisor or experienced cutter, and demonstrates steady improvement in accuracy, speed, and quality. The role requires the ability to read and understand basic instructions, use common sense to follow written or oral directions, measure accurately, and work safely around cutting tools and machinery. 

Cutter I Minimum Requirements 

A high school diploma, GED, or equivalent combination of education, training, and experience is preferred. Previous manufacturing, cutting, machine operation, material handling, or related production experience is helpful but not required. The employee must be able to follow written and verbal instructions, communicate with supervisors and team members, use basic measuring tools, and learn safe operation of cutting equipment. 

The employee should be able to add, subtract, multiply, and divide using whole numbers, fractions, and decimals. The employee must be able to measure accurately with rulers and tape measures, including common manufacturing increments such as sixteenths and eighths of an inch, feet, and yards. 

KNOWLEDGE, SKILLS, AND ABILITIES 

The Cutter must be able to read and interpret work orders, job specifications, templates, patterns, cutting layouts, cut files, material records, and simple correspondence. The Cutter must understand how to use measuring tools accurately and must be able to perform mathematical calculations involving whole numbers, fractions, decimals, inches, feet, yards, and other standard measurement units. 

The Cutter must be able to operate cutting tools and equipment safely, including hand tools, knives, blades, scissors, electric hand tools, bench-mounted tools, routers, grinders, die cutters, CNC cutting systems, vacuum cutting tables, and the I-9000 cutting machine. Depending on level, the Cutter may also need working knowledge of Excel, PatternSmith, Plotter-Pilot, and other manufacturing software. 

The Cutter must be able to identify material defects, verify cut accuracy, inspect markings, understand material orientation, and recognize how cut quality affects downstream assembly and finished product performance. The role requires attention to detail, sound judgment, planning and organizing ability, time management, communication, teamwork, safety awareness, and willingness to work overtime when production demands require it.