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Data Labeling Jobs in Oklahoma (NOW HIRING)

Bosch-HomeComfort

Unit Inspector 2nd shift

Norman, OK · On-site

Verifies that the correct Data Label and Carton Label are placed on the unit. 9. Perform basic housekeeping functions of sweeping, straightening, etc., to assure a work area of a neat/orderly/clean ...

ClimateMaster

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 ...

Climate Control Group

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 ...

Climate Control Group

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 ...

ClimateMaster

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 ...

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All JobsData Labeling JobsData Labeling Jobs in Oklahoma

Data Labeling information

See Oklahoma salary details

$9

$21

$51

How much do data labeling jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data labeling in Oklahoma is $21.99, according to ZipRecruiter salary data. Most workers in this role earn between $14.45 and $25.23 per hour, depending on experience, location, and employer.

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.

How can I get started in data labeling?

To get started in data labeling, you should develop basic computer skills and familiarize yourself with common labeling tools or platforms. Many entry-level positions require attention to detail and sometimes a short training or tutorial before beginning work.

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.

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 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 controlled environment.

Is data labeling a good career?

Data labeling is a growing field within data annotation and machine learning, often involving tasks like image, text, or audio annotation. It can offer entry-level opportunities with flexible schedules, but typically requires attention to detail and familiarity with labeling tools. Career advancement may depend on gaining technical skills or moving into related roles such as data analysis or machine learning engineering.
What are the most commonly searched types of Data Labeling jobs in Oklahoma? The most popular types of Data Labeling jobs in Oklahoma are:
What are popular job titles related to Data Labeling jobs in Oklahoma? For Data Labeling jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Data Labeling jobs in Oklahoma look for? The top searched job categories for Data Labeling jobs in Oklahoma are:
What cities in Oklahoma are hiring for Data Labeling jobs? Cities in Oklahoma with the most Data Labeling job openings:
Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Oklahoma as of August 2026, with employment types broken down into 68% Full Time, and 32% Part Time. Highlights an 100% In-person job distribution, with an average salary of $45,733 per year, or $22 per hour.

Data Entry Receiving Clerk

Trinity Employment Specialists

Jenks, OK • On-site

$17 - $19/hr

Full-time

Posted 15 days ago

Job description

Receiving Clerk (Heavy Data Entry)

Pay: $17/hour+ BOE

Schedule: Monday–Friday, 8:00 a.m. – 5:00 p.m.

Job Type: Full-Time

Location: Jenks, OK


Receiving Clerk (Heavy Data Entry) – Must-Have Requirements

1–3 years of receiving experience

Strong data entry skills with high accuracy and attention to detail

Experience processing orders, bills of lading (BOLs), and shipping documents

Proficiency in Microsoft Office, especially Excel

Ability to multitask in a fast-paced environment

Strong organizational and communication skills

Ability to lift up to 50 lbs as needed

High school diploma or GED required


Receiving Clerk (Heavy Data Entry) – Position Summary

Responsible for handling inbound shipments with a strong focus on high-volume, accurate data entry

Ensures all receiving, and order processing tasks are completed efficiently and correctly

Works cross-functionally with operations, customer service, and production teams


Receiving Clerk (Heavy Data Entry) – Essential Duties & Responsibilities

Process outbound shipment orders, customer orders, and fabrication work orders in internal system (Quantum preferred)

Prepare bills of lading, packing lists, and certification paperwork

Receive and process incoming repair orders including inspection, work order creation, labeling, scanning, and routing

Resolve discrepancies and communicate with customer service teams

Ship completed orders using FedEx, UPS, and DHL systems

Coordinate with freight forwarders for domestic and international shipments

Package products to ensure safe and damage-free delivery

Maintain organized filing of BOLs, orders, and receiving documentation

Assist with month-end reports and documentation review

Order and maintain shipping supplies

Collaborate with internal teams and departments

Operate forklift as needed

Perform other duties as assigned


Receiving Clerk (Heavy Data Entry) – Additional Qualifications

Experience with ERP systems (Quantum preferred)

Forklift experience preferred

Ability to read and interpret documents and correspondence

Basic math and problem-solving skills

Strong attention to detail and ability to prioritize tasks

Ability to follow written and verbal instructions

Comfortable working in a deadline-driven environment

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