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Data Labelling Jobs in Oklahoma (NOW HIRING)

Cycle Counter

Oklahoma City, OK · On-site

$13 - $15.75/hr

Perform scheduled and ad-hoc inventory counts to verify quantities and maintain data accuracy. • ... Ensure proper identification and labeling of parts following the CLM labeling schematic. • Cross ...

Cycle Counter

Oklahoma City, OK

$13 - $15.75/hr

Perform scheduled and ad-hoc inventory counts to verify quantities and maintain data accuracy ... Labeling Compliance: Ensure proper identification and labeling of parts following the CLM labeling ...

Follow strict project instructions and complete tasks accurately, including tagging specific issues (e.g., "Icons not properly masked," "Labels too small"). YOU ARE A FIT IF YOU...   * Have an eye ...

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Data Labelling information

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.

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.

How can I get started in data labeling?

To start in data labeling, gain familiarity with annotation tools and understand the specific data types you'll work with, such as images, text, or audio. Building attention to detail and basic knowledge of machine learning concepts can improve your effectiveness; some roles may require basic computer skills or certifications. Entry-level positions often offer flexible schedules and remote work options.

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 they work for. Some may earn higher rates with specialized skills or certifications, especially for complex data annotation tasks involving images, videos, or audio. Pay can vary based on whether the work is freelance, part-time, or full-time, and some roles offer project-based or hourly compensation.

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 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 they are often performed remotely with flexible schedules.

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:

Infographic showing various Data Labelling job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Industrial Shop Data Entry (ABS Checker)

Oklahoma City, OK • On-site

$15/hr

Full-time

Re-posted 16 days ago


Job description

Job Type
Full-time
Description
With over 50 years' experience, Alliance Steel, Inc. is one of the most respected customer-focused companies in the business. Alliance specializes in the design, engineering, manufacturing and delivery of high-quality pre-engineered steel and premium building components. We work in a safe, positive, and engaging environment, and believe our employees are the fuel that drives our business.
Alliance Steel, Inc. is seeking an ABS Assistant to join our growing team. The ABS Assistant should be great with excel and have a strong attention to detail. This position will gain hands-on experience on how to properly utilize ABS software to develop shop paperwork.
Responsibilities May Include, But Not Limited To:
• Creating truck manifests
• Bundling shop paperwork
• Verifying material loaded on trucks to send out to job sites
• Process loads
• Use ABS software to input all data
• Printing all job labels
• Scan and organize all paperwork into job folders
Preferred Qualifications & Experience:
• Strong attention to detail
• Proficient with Microsoft Office - especially Excel
• Preferred computer skills
• Efficient at staying on task
Requirements
Requirements:
• Excellent organization and communication skills
• Must be able to lift 50 lbs., bend, squat, kneel and or stand for extended periods of time
Salary Description
$15.00/hr