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Data Labeling Jobs in Arkansas (NOW HIRING)

... labeling and food safety requirements are met.Additional responsibilities include developing ... Analyze data to build product specifications that are process capable * Present technical data or ...

... labeling and food safety requirements are met. Additional responsibilities include developing ... Analyze data to build product specifications that are process capable * Present technical data or ...

... labeling and food safety requirements are met. Additional responsibilities include developing ... Analyze data to build product specifications that are process capable * Present technical data or ...

... labeling and food safety requirements are met. Additional responsibilities include developing ... Analyze data to build product specifications that are process capable * Present technical data or ...

... labeling and food safety requirements are met.Additional responsibilities include developing ... Analyze data to build product specifications that are process capable * Present technical data or ...

Senior Food Scientist

Springdale, AR · On-site

$80K - $110K/yr

... labeling and food safety requirements are met. Additional responsibilities include developing ... Analyze data to build product specifications that are process capable * Present technical data or ...

... labeling and food safety requirements are met. Additional responsibilities include developing ... Analyze data to build product specifications that are process capable * Present technical data or ...

... labeling and food safety requirements are met. Additional responsibilities include developing ... Analyze data to build product specifications that are process capable * Present technical data or ...

Inbound Auditor

Barling, AR · On-site

$21.50/hr

Ability to read and interpret BOLs, labels, and shipping documents. * Basic computer skills for data entry and documentation. * Ability to work independently and as part of a team in a fast-paced ...

Records and maintains daily production data according to work order, FPS and FES guidelines; and ... Prepares and makes labels to identify parts, part number and work order (FOOs) using ID machine ...

Material Handler

Benton, AR · On-site

$14.25 - $17.25/hr

Reviews laboratory data to determine proper handling and disposal of materials * Uses Department of Transportation (DOT) knowledge to match and label inbound materials for storage and shipping of ...

Showing results 41-60

Data Labeling information

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

How can I get started in data labeling?

To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

Is data labeling a good career?

Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a team environment.

What are the most commonly searched types of Data Labeling jobs in Arkansas?

The most popular types of Data Labeling jobs in Arkansas are:

What are popular job titles related to Data Labeling jobs in Arkansas?

For Data Labeling jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Data Labeling jobs in Arkansas look for?

The top searched job categories for Data Labeling jobs in Arkansas are:

Infographic showing various Data Labeling job openings in Arkansas as of August 2026, with employment types broken down into 73% Full Time, 8% Part Time, 7% Temporary, and 12% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Food Scientist - Poultry

Springdale, AR • On-site

Tyson Foods, Inc.
Food and Drink Manufacturing • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Tyson Foods rating

6.4

Company rating: 6.4 out of 10

Based on 558 frontline employees who took The Breakroom Quiz


Job description

Job Details:
Applying to this requisition will put you into considering for Food Scientist I, Food Scientist II, Senior Foods Scientist I, or Senior Food Scientist II - Level will be determined through the interview process.
SUMMARY: This position is responsible for developing and commercializing new and improved products and/or processes through guidance from their manager. This covers all stages of product development and process development including writing new product specifications, and ensuring regulatory labeling and food safety requirements are met. Additional responsibilities include developing samples/prototypes of new products, modifying existing products, optimizing existing products, developing specifications for product production labeling, and compiling cost analysis information. The person in this position will have a strong working knowledge of the scientific methods and is expected to leverage knowledge related to ingredients, product formulation and food processing to support best in class development of new, innovative food products. In addition, the person in this role will lead and execute cook validations for products in support of commercialization workstreams. This will include planning, conducting, documenting, and communicating cook validation studies across products, production lines, and fryer platforms to verify food safety, enable optimized cooking procedures, and support consistent restaurant quality.
Essential Duties & Responsibilities:
  • Working with and strongly influencing marketing, insights, sales, culinary, FSQA, operations and purchasing departments, coordinating with suppliers of ingredients, ensuring smooth start-up for new product production processes
  • Modifying or optimizing existing products, developing specifications for product production labeling, and compiling cost analysis information.
  • Work multiple development and optimization projects of moderate complexity, independently, from concept through commercialization with guidance from manager. This includes planning, executing experiments, analyzing data, reporting results.
  • Execute the development process with activities that include bench top development, pilot plant testing, and scale-up production at a federally inspected research facility and final commercialization at full scale production facility
  • Strong working knowledge of the following is a plus: poultry new product development and optimization including battered and breaded products as well as water jet portioning technologies.
  • Help team to identify innovation that is treated as IP that can give Tyson a competitive edge in the industry
  • Analyze data to build product specifications that are process capable
  • Present technical data or concepts to laypersons on their level of understanding
  • Compile cost analysis information and provide to product management
  • Ensure costing structure meets the financial expectations of projects
  • Work on cross functional teams across the organization for project completion that will ultimately help achieve our growth and EBIT strategies
  • Travel to plant production facilities
  • Take on and complete special projects as needed.
  • Develop culinary samples/prototypes of new products, modifying existing products, optimizing existing products, developing specifications
  • Develop product production labels and compile cost analysis information
  • Strong working knowledge of the scientific methods and is expected to leverage knowledge related to ingredients, product formulation and food processing to support best in class development of new, innovative food products
  • Work with and influence cross functional team members (marketing, insights, sales, culinary, FSQA, operations and purchasing departments, coordinating with suppliers of ingredients) while ensuring smooth start-up for new product production processes
  • Work with process development to develop process flow charts for engineering
  • Ability and Initiative to grow within the organization and develop a personal development plan with your manager

Requirements for Senior Food Scientist II:
Education & Experience:
BS MS or PhD in Food Science Meat Science Food Engineering or related field. Related degree with minimum of 8 years relevant Research and Development work experience. No degree with minimum of 15 years relevant experience.
Requirements for Senior Food Scientist I:
Education & Experience:
BS MS or PhD in Food Science Meat Science Food Engineering or related field. PhD with minimum of 2 years of relevant experience M.S. with minimum of 3 years of relevant experience B.S. with minimum of 5 years of relevant experience No degree with minimum of 10 years relevant experience
Requirements for Food Scientist II:
Education & Education:
BS MS or PhD in Food Science Meat Science Food Engineering or related field. Alt. Protein science or equivalent Experience: PhD with no experience. M.S. with minimum of 2 years of relevant experience B.S. with minimum of 3 years of relevant experience. No degree with minimum of 8 years relevant experience.
Requirements for Food Scientist I:
Education & Experience:
BS MS or PhD in Food Science Meat Science Food Engineering or related field. PhD or M.S with no experience. B.S. with minimum of 2 years of relevant experience. No degree with minimum of 8 years relevant experience.
Other:
Computer Skills: Requires good computer skills with ability to fully utilize MS Office products and Tyson systems (or like systems).
Communication Skills: Good verbal and written communication skills required, presentation skills required, must have the ability to effectively communicate with cross functional business partners
Special Skills: Strong critical thinking, analytical and problem-solving skills, strong project management skills. Strong numerical skills, understanding of product formulation, food processing and the Research and Development process, understanding of regulatory labeling and food safety requirements
Supervisory: May supervise a team of hourly technicians that support a team of scientists.
Travel: Minimum 25% (12+ trips a year)
  • Travel will be required to accomplish our internal and external customer needs
  • This includes customer meetings, visiting production facilities for testing and commercialization of new products, process trouble shooting and any other regular business needs.

Relocation Assistance Eligible:
Yes
Work Shift:
1ST SHIFT (United States of America)
Certain roles at Tyson require background checks. If you are offered a position that requires a background check you will be provided additional documentation to complete once an offer has been extended.
Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.
The successful candidate(s) must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation.
Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.
We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.
If you would like to learn more about your data privacy rights and how you may use that information, please read our Job Applicant Privacy Notice here
Unsolicited Assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States. Any resumes or candidate profiles submitted by recruitment vendors or headhunters to any employee or applicant tracking system at Tyson Foods or its subsidiaries, without a valid written request and search agreement approved by HR, will be considered the property of Tyson Foods. No fees will be paid if the candidate is hired due to an unsolicited referral.

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