ZipRecruiter

Log In

1

Data Labelling Jobs in Oklahoma (NOW HIRING)

TSMG

AI/ML Data Contributor

Oklahoma City, OK

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

Accenture

Data Protection Consultant

Oklahoma City, OK

$112K - $133K/yr

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). Perform threat mapping ...

ARL

Data Entry Specialist

Oklahoma City, OK · On-site

$18 - $19/hr

The Sample Administrator ensures accurate data entry by comparing the sample label to the sample submission form for timely processing and appropriate lab testing. * They are responsible for ...

Pyramid Consulting, Inc.

Data Center Technician

Tulsa, OK · On-site

$22 - $24/hr

Install, rack, stack, cable, label, and decommission servers, storage, and network equipment ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

micro1 AI

AI Data Collector (Motion & Video)

Tulsa, OK · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas, Delaware, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maryland ...

Prime Partners

Data Tech

Tulsa, OK

$21 - $28/hr

Not available -- local candidates only We're looking for 2 Data Technicians to join an 8-week ... Follow site plans, cable schedules, and labeling standards * Maintain a clean and organized work ...

next page

Showing results 1-20

All JobsData Labelling JobsData Labelling Jobs in Oklahoma

Data Labelling information

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.

What is a data labelling?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

How much do data labelers get paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Some positions may offer project-based pay or bonuses for accuracy and efficiency.

What are the typical daily responsibilities of a data labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

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

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

What are data labeling jobs?

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

How can I get started in data labeling?

To start in data labeling, gain familiarity with common tools like labeling software and understand data annotation standards. Building attention to detail and basic knowledge of the data types you will label, such as images or text, is essential. Many entry-level roles require no formal certification but may prefer candidates with basic computer skills and the ability to follow detailed instructions.
What are the most commonly searched types of Data Labelling jobs in Oklahoma? The most popular types of Data Labelling jobs in Oklahoma are:
What are popular job titles related to Data Labelling jobs in Oklahoma? For Data Labelling jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Data Labelling jobs in Oklahoma look for? The top searched job categories for Data Labelling jobs in Oklahoma are:
What cities in Oklahoma are hiring for Data Labelling jobs? Cities in Oklahoma with the most Data Labelling job openings:
Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Oklahoma as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Operational Data Analyst

Revenue Management Solutions, LLC

Oklahoma City, OK • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
Revenue Management Solutions, LLC is seeking an Operations Data Analyst to support their internal Operations Teams through data analysis. The role involves providing reporting, researching improvements for processing efficiency, and managing data extraction methods to enhance operations.
Responsibilities:
• Provide long-term reporting, team metrics and quality control insight using tools such as Microsoft SQL Server, Sisense, Excel, Python, and more
• Research and develop suggested improvements for production processing efficiency
• Create, test, and maintain SQL stored procedures alongside a Unit Test environment
• Work with proprietary software to manage internal document extraction methods through building, testing, and deployment pipelines
• Perform dataset collection for creation of new machine learning processes
• Perform data labelling and dataset refinement to fine-tune current and future machine learning methods
• Manage and resolve data extraction inconsistencies per client standard
• Other duties and responsibilities as assigned
Qualifications:
Required:
• 1-3 years SQL and Python
• Data Analytic/Mining skills required
• Experience with version control (GIT, CVS)
• Proficiency in MS Office Suite
• Problem-solving skills
• Excellent verbal and written communication skills
• Excellent organizational skills and attention to detail
• Able to multitask, prioritize, and manage time effectively
• Attention to detail
Preferred:
• Experience with Jira or similar ticket tools
• Experience with query performance tuning
• Experience troubleshooting in a live production environment
• Experience with large datasets
• Experience with high volume and fast turnaround
• Understanding of Healthcare claims and payments revenue cycle strongly desired
• A bachelor's degree in a technical field is not required, but preferred
Company:
Revenue Management Solutions (RMS) is a market leader in healthcare remittance processing since 2006, supporting a diverse network of healthcare providers and banking partners. Founded in 2006, the company is headquartered in Oklahoma City, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply